AceSearcher/evaluation_datasets huggingface dataset:
||Years Ended December 31,||
||2019|2018|
|Network advertising|$22.7|$28.2|
|Broadcast station|11.9|10.8|
|Network distribution|4.9|4.8|
|Other|2.3|1.6|
|Total revenue from contracts with customers|41.8|45.4|
|Other revenue|-|-|
|Total Broadcasting segment revenue|$ 41.8|$ 45.4|
 Broadcasting Segment Network advertising revenue is generated primarily from the sale of television airtime for programs or advertisements. Network advertising revenue is recognized when the program or advertisement is broadcast. Revenues are reported net of agency commissions, which are calculated as a stated percentage applied to gross billings. The Network advertising contracts are generally short-term in nature. Network distribution revenue consists of payments received from cable, satellite and other multiple video program distribution systems for their retransmission of our network content. Network distribution revenue is recognized as earned over the life of the retransmission consent contract and varies from month to month. Variable fees are usage/sales based, calculated on the average number of subscribers, and recognized as revenue when the usage occurs. Transaction prices are based on the contract terms, with no material judgments or estimates. Broadcast station revenue is generated primarily from the sale of television airtime in return for a fixed fee or a portion of the related ad sales recognized by the third party. In a typical broadcast station revenue agreement, the licensee of a station makes available, for a fee, airtime on its station to a party which supplies content to be broadcast during that airtime and collects revenue from advertising aired during such content. Broadcast station revenue is recognized over the life of the contract, when the program is broadcast. The fees that we charge can be fixed or variable and the contracts that the Company enters into are generally short-term in nature. Variable fees are usage/salesbased and recognized as revenue when the subsequent usage occurs. Transaction prices are based on the contract terms, with no material judgments or estimates. Disaggregation of Revenues The following table disaggregates the Broadcasting segment's revenue by type (in millions):


Question: If network advertising revenue in 2019 was 30.0 million, what would be the change from 2018 to 2019? (in million)

Solution:
def solution():
    # Define variables name and value
    network_advertising_2019 = 30.0
    network_advertising_2018 = 28.2
    
    # Do math calculation to get the answer
    answer = network_advertising_2019 - network_advertising_2018
    
    return answer

Answer: 1.8000000000000007
||2019|2018|
|Advances|500|-|
|Board compensation|413|413|
|Other accrued expenses|168|150|
||$1,081|$563|
 7. ACCRUED LIABILITIES Other accrued expenses consisted of the following at December 31, 2019 and 2018 (in thousands): Advances are amounts received from litigation counsel as advanced reimbursement of out-of-pocket expenses expected to be incurred by us. Board compensation of $0.4 million at December 31, 2019 and 2018 represents accrued and unpaid board and committee fees from prior periods. In the first quarter of 2020, current and prior board members agreed to waive unpaid cash fees in exchange for share-based compensation awards with an aggregate grant-date fair value of approximately $0.1 million (see Note 18).


Question: What is the total amount of the top 2 categories of accrued liabilities in 2019, if Other accrued expenses made up $1,000 thousand? (in thousand)

Solution:
def solution():
    # Define variables name and value
    advances = 500
    other_accrued_expenses = 1000
    
    # Do math calculation to get the answer
    answer = advances + other_accrued_expenses
    
    return answer

Answer: 1500
|FINANCIAL PERFORMANCE SUMMARY|2019  $’000|2018  $’000 RESTATED|CHANGE|
|Current assets|75,460|91,457|(18%)|
|Non-current assets|150,607|147,234|2%|
|Total assets|226,067|238,691|(5%)|
|Current liabilities|34,555|43,336|(20%)|
|Non-current liabilities|34,348|31,418|9%|
|Total liabilities|68,903|74,754|(8%)|
|Net assets|157,164|163,937|(4%)|
|Equity|157,164|163,937|(4%)|
 Statement of financial position Net assets have decreased to $157,164,000 at 30 June 2019 from $163,937,000 at 30 June 2018. Current assets have decreased from 30 June 2018 by 18% to $75,460,000. This is driven by a reduction in cash assets, a result of continued investment in technology and further investment in iMoney. The current component of the trail commission asset is $25,626,000, which increased by 16% since 30 June 2018. Non-current assets have increased from 30 June 2018 by 2% to $150,607,000 which is largely due to higher non-current trail commission asset partially offset by capital asset writeoffs and Home Loans Goodwill impairment. The non-current component of the trail commission asset is $88,452,000 which increased by 9% since 30 June 2018, mainly due to sales volume and partner mix. Current liabilities decreased from 30 June 2018 to 30 June 2019 by 20% to $34,555,000 primarily due to payments to suppliers in addition to trade related payable balances post 30 June 2018. Non-current liabilities have increased by 9% ending on $34,348,000. This relates to an increase in lease liabilities and deferred tax liabilities.


Question: What would the current ratio be in 2019 if the current assets in 2019 was 80,000 thousand instead?

Solution:
def solution():
    # Define variables name and value
    current_assets = 80000
    current_liabilities = 34555

    # Do math calculation to get the answer
    answer = current_assets / current_liabilities

    return answer

Answer: 2.315149761250181
|Three months ended August 31,|2019|2018|Change|Change in constant currency(2)|
|(in thousands of dollars, except percentages)|$|$|%|%|
|Canadian broadband services|79,132|89,405|(11.5)|(11.7)|
|Capital intensity|24.7%|28.0%|||
|American broadband services|65,967|72,914|(9.5)|(10.5)|
|Capital intensity|25.0%|29.6%|||
|Consolidated|145,099|162,319|(10.6)|(11.2)|
|Capital intensity|24.9%|28.7%|||
 ACQUISITIONS OF PROPERTY, PLANT AND EQUIPMENT The acquisitions of property, plant and equipment as well as the capital intensity per operating segment are as follows: (1) Fiscal 2018 was restated to comply with IFRS 15 and to reflect a change in accounting policy. For further details, please consult the "Accounting policies" section. (2) Fiscal 2019 actuals are translated at the average foreign exchange rate of the comparable period of fiscal 2018 which was 1.3100 USD/CDN. Fiscal 2019 fourth-quarter acquisitions of property, plant and equipment decreased by 10.6% (11.2% in constant currency) mainly due to lower capital expenditures in the Canadian and American broadband services segments. Fiscal 2019 fourth-quarter capital intensity reached 24.9% compared to 28.7% for the same period of the prior year mainly as a result of lower capital capital expenditures combined with higher revenue.


Question: If the Consolidated in 2019 increased to 179,893 what is the revised increase / (decrease)? (in thousand)

Solution:
def solution():
    # Define variables name and value
    consolidated_2019 = 179893
    consolidated_2018 = 162319
    
    # Do math calculation to get the answer
    answer = consolidated_2019 - consolidated_2018
    
    return answer

Answer: 17574
|||Years Ended December 31,||
||2019|2018|2017|
|Net income|$67,062|$68,921|$5,135|
|Other comprehensive income (loss):||||
|Foreign currency translation adjustments|1,034|-15,261|16,744|
|Total other comprehensive income (loss)|1,034|(15,261 )|16,744|
|Comprehensive income|$68,096|$53,660|$21,879|
 ACI WORLDWIDE, INC. AND SUBSIDIARIES CONSOLIDATED STATEMENTS OF COMPREHENSIVE INCOME (in thousands) The accompanying notes are an integral part of the consolidated financial statements.


Question: What would be the change in comprehensive income between 2018 and 2019 if comprehensive income in 2019 was $70,000 thousand instead? (in thousand)

Solution:
def solution():
    # Define variables name and value
    comprehensive_income_2019 = 70000
    comprehensive_income_2018 = 53660

    # Do math calculation to get the answer
    answer = comprehensive_income_2019 - comprehensive_income_2018

    return answer

Answer: 16340
||Number of Shares|Weighted Average Grant Date Fair Value|
|Nonvested as of December 31, 2018|651,045|$23.82|
|Granted|742,579|33.28|
|Vested|-259,634|24.16|
|Forfeited|-124,586|29.79|
|Nonvested as of December 31, 2019|1,009,404|$ 29.96|
 Restricted Share Units During the year ended December 31, 2019, pursuant to the 2016 Incentive Plan, the Company granted restricted share unit awards (“RSUs”). RSUs generally have requisite service periods of three years and vest in increments of 33% on the anniversary of the grant dates. RSUs granted to our board vest one year from grant or as of the next annual shareholders meeting, whichever is earlier. Under each arrangement, RSUs are issued without direct cost to the employee on the vesting date. The Company estimates the fair value of the RSUs based upon the market price of the Company’s stock at the date of grant. The Company recognizes compensation expense for RSUs on a straight-line basis over the requisite service period. A summary of nonvested RSUs is as follows: During the year ended December 31, 2019, a total of 259,634 RSUs vested. The Company withheld 57,802 of those shares to pay the employees’ portion of the minimum payroll withholding taxes. As of December 31, 2019, there was unrecognized compensation expense of $20.5 million related to RSUs, $15.0 million related to TSRs, $0.5 million related to LTIP performance shares, $0.3 million related to nonvested RSAs, and $0.2 million related to nonvested stock options, which the Company expects to recognize over weighted average periods of 1.9 years, 1.9 years, 0.1 years, 0.2 years, and 0.3 years, respectively. The Company recorded stock-based compensation expense recognized under ASC 718 during the years ended December 31, 2019, 2018, and 2017, of $36.8 million, $20.4 million, and $13.7 million, respectively, with corresponding tax benefits of $5.9 million, $3.9 million, and $1.7 million, respectively. The Company recognizes compensation expense for stock option awards that vest with only service conditions on a straight-line basis over the requisite service period. The Company recognizes compensation expense for stock option awards that vest with service and market-based conditions on a straight-line basis over the longer of the requisite service period or the estimated period to meet the defined market-based condition.


Question: What would be the percentage change in nonvested RSUs between 2018 and 2019 if nonvested RSUs in 2019 was 1,100,000 instead? (in percent)

Solution:
def solution():
    # Define variables name and value
    nonvested_2018 = 651045
    nonvested_2019_modified = 1100000
    
    # Do math calculation to get the answer
    answer = ((nonvested_2019_modified - nonvested_2018) / nonvested_2018) * 100
    
    return answer

Answer: 68.95913492922917
|||As of December 31,|||
||2019||2018||
||Buy (Sell)|Notional Amount|Buy (Sell)| Notional Amount|
|Japanese Yen|$49.8|$49.8|$29.9|$29.9|
|Philippine Peso|36.4|36.4|30.1|30.1|
|Malaysian Ringgit|20.4|20.4|—|—|
|Chinese Yuan|20.2|20.2|20.4|20.4|
|Korean Won|18.1|18.1|20.8|20.8|
|Czech Koruna|11.9|11.9|9.2|9.2|
|Euro|—|—|13.1|13.1|
|Other currencies - Buy|21.9|21.9|26.3|26.3|
|Other currencies - Sell|(4.6)|4.6|(7.5)|7.5|
||$174.1|$183.3|$142.3|$157.3|
 Foreign Currencies As a multinational business, the Company's transactions are denominated in a variety of currencies. When appropriate, the Company uses forward foreign currency contracts to reduce its overall exposure to the effects of currency fluctuations on its results of operations and cash flows. The Company's policy prohibits trading in currencies for which there are no underlying exposures and entering into trades for any currency to intentionally increase the underlying exposure. The Company primarily hedges existing assets and liabilities associated with transactions currently on its balance sheet, which are undesignated hedges for accounting purposes. As of December 31, 2019 and 2018, the Company had net outstanding foreign exchange contracts with net notional amounts of $183.3 million and $157.3 million, respectively. Such contracts were obtained through financial institutions and were scheduled to mature within one to three months from the time of purchase. Management believes that these financial instruments should not subject the Company to increased risks from foreign exchange movements because gains and losses on these contracts should offset losses and gains on the underlying assets, liabilities and transactions to which they are related. The following schedule summarizes the Company's net foreign exchange positions in U.S. dollars (in millions): Amounts receivable or payable under the contracts are included in other current assets or accrued expenses in the accompanying Consolidated Balance Sheets. For the years ended December 31, 2019, 2018 and 2017, realized and unrealized foreign currency transactions totaled a loss of $5.0 million, $8.0 million and $6.3 million, respectively. The realized and unrealized foreign currency transactions are included in other income and expenses in the Company's Consolidated Statements of Operations and Comprehensive Income.


Question: If the Japanese Yen Buy position in 2019 increased to 51.4 million, what would be the revised change from December 31, 2018 to 2019? (in million)

Solution:
def solution():
    # Define variables name and value
    japanese_yen_buy_2019 = 51.4
    japanese_yen_buy_2018 = 29.9
    
    # Do math calculation to get the answer
    answer = japanese_yen_buy_2019 - japanese_yen_buy_2018
    
    return answer

Answer: 21.5
||Year Ended December 31, 2019|Year Ended December 31, 2018|Year Ended December 31, 2017|
|Weighted average common shares—basic|45,542,315|45,280,161|44,855,263|
|Dilutive effect of stock options|32,222|33,134|31,534|
|Dilutive effect of restricted stock|505,858|467,659|297,406|
||46,080,395|45,780,954|45,184,203|
 1. Description of the business and summary of significant accounting policies: (Continued) Shares of restricted stock are included in the computation of basic EPS as they vest and are included in diluted EPS, to the extent they are dilutive, determined using the treasury stock method. The following details the determination of the diluted weighted average shares:


Question: What would be the average number of basic weighted average common shares in 2017 and 2018 if the number of shares in 2017 is doubled 2 ?

Solution:
def solution():
    # Define variables name and value
    shares_2017 = 44_855_263
    shares_2018 = 45_280_161

    # Double the number of shares in 2017
    shares_2017_doubled = shares_2017 * 2

    # Calculate the average number of basic weighted average common shares in 2017 and 2018
    answer = (shares_2017_doubled + shares_2018) / 2

    return answer

Answer: 67495343.5
|||Year Ended||
||June 30,
2019|June 30,
2018|June 30,
2017|
|Cost of product revenue |$844|$564|$333|
|Cost of service revenue|1,639|1,131|589|
|Research and development  |10,443|7,642|3,312|
|Sales and marketing  |11,747|9,843|4,253|
|General and administrative  |8,224|8,453|4,146|
|Total share-based compensation expense |$32,897|$27,633|$12,633|
 Share Based Compensation Expense Share-based compensation expense recognized in the financial statements by line item caption is as follows (in thousands): The amount of share-based compensation expense capitalized in inventory has been immaterial for each of the periods presented.


Question: What would be the percentage change in Sales and marketing between 2017 and 2018 if sales and marketing in 2019 was $10,000 thousand instead? (in percent)

Solution:
def solution():
    # Define variables name and value
    sales_and_marketing_2019 = 10000
    sales_and_marketing_2017 = 4253
    
    # Do math calculation to get the answer
    percentage_change = ((sales_and_marketing_2019 - sales_and_marketing_2017) / sales_and_marketing_2017) * 100
    
    return percentage_change

Answer: 135.12814483893723
||2019|2018|$ CHANGE|% CHANGE|
|Operating costs|(6,942)|(6,946)|4|0.1%|
|Adjusted EBITDA|5,414|5,321|93|1.7%|
|Adjusted EBITDA margin|43.8%|43.4%||0.4 pts|
 OPERATING COSTS AND ADJUSTED EBITDA Bell Wireline operating costs were essentially stable year over year, decreasing by 0.1% in 2019, compared to 2018, resulting from: • The favourable impact from the adoption of IFRS 16 in 2019 • Continued effective cost containment • Lower pension expenses reflecting reduced DB costs These factors were partly offset by: • Higher cost of goods sold related to the growth in product sales • Increased costs from the acquisition of Axia • Greater payments to other carriers from increased sales of international wholesale long distance minutes Bell Wireline adjusted EBITDA grew by 1.7% in 2019, compared to last year, reflecting the growth in revenues as operating expenses were relatively stable year over year. Adjusted EBITDA margin increased to 43.8% in 2019, compared to the 43.4% achieved last year, resulting from the favourable impact of the adoption of IFRS 16 in 2019 and the flow-through of the service revenue growth, offset in part by higher low-margin product sales in our total revenue base.


Question: What would the sum of the operating costs in 2018 and 2019 be if the amount for 2019 was -7,000?

Solution:
def solution():
    # Define variables name and value
    operating_costs_2019 = -7000
    operating_costs_2018 = -6946
    
    # Do math calculation to get the answer
    answer = operating_costs_2019 + operating_costs_2018
    
    return answer

Answer: -13946
||2019|2018|$ CHANGE|% CHANGE|
|Bell Wireless|(5,300)|(5,297)|(3)|(0.1%)|
|Bell Wireline|(6,942)|(6,946)|4|0.1%|
|Bell Media|(2,367)|(2,428)|61|2.5%|
|Inter-segment eliminations|751|738|13|1.8%|
|Total BCE operating costs|(13,858)|(13,933)|75|0.5%|
 4.4 Operating costs Cost of revenues includes costs of wireless devices and other equipment sold, network and content costs, and payments to other carriers. Labour costs (net of capitalized costs) include wages, salaries and related taxes and benefits, post-employment benefit plans service cost, and other labour costs, including contractor and outsourcing costs Other operating costs include marketing, advertising and sales commission costs, bad debt expense, taxes other than income taxes, IT costs, professional service fees and rent BCE Total BCE operating costs declined by 0.5% in 2019, compared to last year, driven by reduced costs in Bell Media of 2.5%, while costs in Bell Wireless and Bell Wireline remained relatively stable year over year. These results reflected the benefit from the adoption of IFRS 16 in 2019.


Question: What would the sum of Inter-segment eliminations in 2018 and 2019 be if the amount for 2019 is 750?

Solution:
def solution():
    # Define variables name and value
    inter_segment_eliminations_2019 = 750
    inter_segment_eliminations_2018 = 738
    
    # Do the math calculation to get the answer
    answer = inter_segment_eliminations_2019 + inter_segment_eliminations_2018
    
    return answer

Answer: 1488
||Post-Retirement Life Insurance Plan||
||2019|2018|
|Accrued expenses and other liabilities|$(393)|$(407)|
|Long-term pension obligations|(4,373)|(4,188)|
|Total accrued cost|$(4,766)|$(4,595)|
 NOTES TO CONSOLIDATED FINANCIAL STATEMENTS (in thousands, except for share and per share data) The components of the accrued cost of the post-retirement life insurance plan are classified in the following lines in the Consolidated Balance Sheets at December 31:


Question: What would be the change in the Long-term pension obligations between 2018 and 2019 if the Long-term pension obligations in 2019 was -$4,000 thousand instead? (in thousand)

Solution:
def solution():
    # Define variables name and value
    long_term_pension_obligations_2019 = -4000
    long_term_pension_obligations_2018 = -4188
    
    # Do math calculation to get the answer
    answer = long_term_pension_obligations_2019 - long_term_pension_obligations_2018
    
    return answer

Answer: 188
||Fair Value|Useful Life|
||(U.S. $ in thousands)|(years)|
|Developed technology|$34,600|5|
|Customer relationships|16,900|7|
|Backlog|1,400|3|
|Total intangible assets subject to amortization|$52,900||
 The following table sets forth the components of identifiable intangible assets acquired and their estimated useful lives as of the date of acquisition. The amount recorded for developed technology represents the estimated fair value of AgileCraft’s enterprise agile planning technology. The amount recorded for customer relationships represents the fair value of the underlying relationships with AgileCraft’s customers. The amount recorded for backlog represents the fair value of AgileCraft’s backlog as of acquisition date.


Question: For fair value, what would be the percentage constitution of customer relationships among the total intangible assets subject to amortization if the fair value of customer relationships was $30,000 thousand instead? (in percent)

Solution:
def solution():
    # Define variables name and value
    customer_relationships = 30000
    total_intangible_assets = 52900
    original_customer_relationships = 16900
    
    # Do math calculation to get the answer
    answer = (customer_relationships / (total_intangible_assets + (customer_relationships - original_customer_relationships))) * 100
    
    return answer

Answer: 45.45454545454545
||March 31,||
|(amounts in thousands)|2019|2018|
|Accounts receivable:|||
|Trade|$176,715|$166,459|
|Allowance for doubtful accounts reserve|(1,206)|(1,210)|
|Ship-from-stock and debit (“SFSD”) reserve|(18,862)|(17,362)|
|Returns reserves (1)|(964)|(131)|
|Rebates reserves|(967)|(446)|
|Price protection reserves|(657)|(420)|
|Other|—|(329)|
|Accounts receivable, net (1)|$154,059|$146,561|
 Note 13: Supplemental Balance Sheets and Statements of Operations Detail (1) Fiscal year ended March 31, 2018 adjusted due to the adoption of ASC 606.


Question: What would be the change in the Returns reserves between 2018 and 2019 if the returns reserves in 2019 was -$500 thousand instead? (in thousand)

Solution:
def solution():
    # Define variables name and value
    returns_reserves_2019 = -500
    returns_reserves_2018 = -131
    
    # Do math calculation to get the answer
    answer = returns_reserves_2019 - returns_reserves_2018
    
    return answer

Answer: -369
|Year Ended December 31,|||
||2019|2018|
|(In thousands)|||
|Revenues|$6,490|$7,859|
|(Loss) from operations|$(7,488)|$(6,322)|
|(Loss) from operations as a % of revenues|(115)%|(80)%|
 Asia Pacific Asia Pacific net revenues decreased $1.4 million in 2019 compared to 2018 (see “Revenues” above). Asia Pacific expenses decreased $203,000 from 2018 to 2019. This decrease was primarily due to a $503,000 decrease of salary expense, offset partially by a $303,000 increase in member acquisition costs. Foreign currency movements relative to the U.S. dollar negatively impacted our local currency loss from our operations in Asia Pacific by approximately $136,000 for 2019. Foreign currency movements relative to the U.S. dollar positively impacted our local currency loss from our operations in Asia Pacific by approximately $127,000 for 2018.


Question: What would be the percentage change in revenue from 2018 to 2019 if the value in 2019 was $8,000 thousand instead? (in percent)

Solution:
def solution():
    # Define variables name and value
    revenue_2018 = 7859
    revenue_2019_modified = 8000
    
    # Do math calculation to get the answer
    answer = (revenue_2019_modified - revenue_2018) / revenue_2018 * 100
    
    return answer

Answer: 1.794121389489757
||2019|2018|
|Computer equipment|$137,763|$94,384|
|Furniture and fixtures|187,167|159,648|
|Subtotal|324,930|254,032|
|Less accumulated depreciation|148,916|104,702|
|Property and equipment, net|$176,014|$149,330|
 NOTE 5 – PROPERTY AND EQUIPMENT The Company owned equipment recorded at cost, which consisted of the following as of December 31, 2019 and 2018: Depreciation expense was $80,206 and $58,423 for the years ended December 31, 2019 and 2018, respectively


Question: What would be the average subtotal cost of property and equipment that the Company owned from 2018 to 2019 if the subtotal cost of property and equipment in 2018 was $300,000?

Solution:
def solution():
    # Define variables name and value
    subtotal_cost_2019 = 324930
    subtotal_cost_2018 = 300000
    
    # Do math calculation to get the answer
    answer = (subtotal_cost_2019 + subtotal_cost_2018) / 2
    
    return answer

Answer: 312465
||Automotive and Discrete Group (ADG)|Microcontrollers and Digital ICs Group (MDG)|Analog, MEMS & Sensors Group AMS)|Total|
|December 31, 2017|—|121|2|123|
|Foreign currency translation|—|(2)|—|(2)|
|December 31, 2018|—|119|2|121|
|Business combination|43|—|—|43|
|Foreign currency translation|—|(2)|—|(2)|
|December 31, 2019|43|117|2|162|
 As described in Note 7, the acquisition of Norstel resulted in the recognition of $43 million in goodwill which has been included in the ADG segment to align the goodwill of the acquired Company with the segment under which the related activities will be reported. As of the end of the third quarters of 2019 and 2018, the Company performed its annual impairment test. The Company did not elect to perform a qualitative assessment. The impairment test was conducted following a two-step process. In the first step, the Company compared the fair value of the reporting units tested to their carrying value. Based upon the first step of the goodwill impairment test, no impairment was recorded since the fair value of the reporting units exceeded their carrying value. Goodwill as at December 31, 2019 and 2018 is net of accumulated impairment losses of $102 million, of which $96 million relates to the MDG segment and $6 million to Others. In 2019, 2018 and 2017, no impairment loss was recorded by the Company.


Question: If the goodwill of Analog, MEMS & Sensors Group (AMS) is increased to 9 million, what is the revised average? (in million)

Solution:
def solution():
    # Define variables name and value
    new_goodwill = 9
    initial_total_goodwill = 121

    # Do math calculation to get the answer
    answer = (initial_total_goodwill + new_goodwill) / 2

    return answer

Answer: 65
|||Three Months Ended||||
||March 31,|June 30,|September 30,|December 31,|Year Ended December 31,|
|2018:||||||
|Operating revenues|$1,741.8|$1,780.9|$1,785.5|$2,131.9|$7,440.1|
|Costs of operations (1)|519.9|560.3|556.7|540.9|2,177.8|
|Operating income|402.9|546.0|567.2|388.9|1,905.0|
|Net income|280.3|314.4|377.3|292.7|1,264.7|
|Net income attributable to American Tower Corporation stockholders|285.2|306.7|366.9|277.6|1,236.4|
|Dividends on preferred stock|(9.4)|—|—|—|(9.4)|
|Net income attributable to American Tower Corporation common stockholders|275.8|306.7|366.9|277.6|1,227.0|
|Basic net income per share attributable to American Tower Corporation common stockholders|0.63|0.69|0.83|0.63|2.79|
|Diluted net income per share attributable to American Tower Corporation common stockholders|0.63|0.69|0.83|0.62|2.77|
 AMERICAN TOWER CORPORATION AND SUBSIDIARIES NOTES TO CONSOLIDATED FINANCIAL STATEMENTS (Tabular amounts in millions, unless otherwise disclosed) 23. SELECTED QUARTERLY FINANCIAL DATA (UNAUDITED) Selected quarterly financial data for the years ended December 31, 2019 and 2018 is as follows (in millions, except per share data): (1) Represents Operating expenses, exclusive of Depreciation, amortization and accretion, Selling, general, administrative and development expense, and Other operating expenses.


Question: What was the percentage change in operating revenues between Three Months Ended  September and December if the operating revenue in Three Months Ended  December was $2,000 million instead? (in percent)

Solution:
def solution():
    # Define variables name and value
    operating_revenues_september = 1785.5
    operating_revenues_december = 2000

    # Do math calculation to get the answer
    answer = ((operating_revenues_december - operating_revenues_september) / operating_revenues_september) * 100

    return answer

Answer: 12.01344161299356
||2019|2018|
|Weighted-average fair value of options granted per share|$8.78|$6.63|
|Historical volatility|60%|46%|
|Risk-free interest rate|2.10%|2.84%|
|Dividend yield|—|—|
|Expected life in years|3.6|5.7|
 The Company utilized the Black-Scholes option pricing model to value the stock options. The Company used an expected life as defined under the simplified method, which is using an average of the contractual term and vesting period of the stock options. The risk-free interest rate used for the award is based on the U.S. Treasury yield curve in effect at the time of grant. The Company accounted for forfeitures as they occur. The historical volatility was calculated based upon implied volatility of the Company's historical stock prices. The fair value of 2019 and 2018 stock options was estimated using the Black-Scholes option pricing model with the following weighted-average assumptions: As of December 31, 2019, there was approximately $419,000 of unrecognized stock-based compensation expense related to outstanding 2019 stock options, expected to be recognized over 3.4 and approximately $418,000 of unrecognized stock-based compensation expense related to outstanding 2018 stock options, expected to be recognized over 2.4 years. There was no unrecognized stock-based compensation expense relating stock options granted prior to 2018.


Question: What would be the average risk-free interest rate used in 2018 and 2019 if the value in 2019 decreased by 0.50%? (in percent)

Solution:
def solution():
    # Define variables name and value
    risk_free_interest_rate_2019 = 2.1
    risk_free_interest_rate_2018 = 2.84
    decrease_percent = 0.5
    
    # Do math calculation to get the answer
    answer = (risk_free_interest_rate_2019 - decrease_percent + risk_free_interest_rate_2018) / 2
    
    return answer

Answer: 2.2199999999999998
||December 31, 2019|December 31, 2018|
||(in thousands)||
|Cash, cash equivalents and marketable securities|$2,455,194|$1,969,670|
|Total assets|3,489,479|2,254,785|
|Total liabilities|473,745|164,017|
|Total non-current liabilities|157,363|25,329|
 Key Balance Sheet Information Total assets increased $1,234.7 million as at December 31, 2019 compared to December 31, 2018, principally due to a $485.5 million increase in cash, cash equivalents and marketable securities mainly as a result of the public offering in September 2019, which resulted in net proceeds of $688.0 million. Business acquisitions during the year, largely due to the acquisition of 6RS, further impacted total assets through an increase in goodwill of $273.8 million, a $141.2 million increase in intangible assets and a resulting decrease in cash due to the consideration paid. The remainder of the increase is due to: the adoption of the new lease accounting standard, further discussed in the "Critical Accounting Policies and Estimates" section below, which resulted in the addition of right-of-use assets totaling $134.8 million as at December 31, 2019; a $58.3 million increase in merchant cash advances and loans receivable; a $49.8 million increase in property and equipment, largely related to leaseholds for our offices; a $49.2 million increase in trade and other receivables largely due to an increase in indirect taxes receivable, unbilled revenue related to subscription fees for Plus merchants, transaction fees and shipping charges; and a $19.4 million increase in deferred tax assets. Total liabilities increased by $309.7 million, principally as a result of the adoption of the new leasing standard, which resulted in $126.8 million of additional lease liabilities related to obtaining right-of-use assets. Accounts payable and accrued liabilities increased by $84.2 million, which was due to an increase in indirect taxes payable, payroll liabilities, and payment processing and interchange fees, partly offset by a decrease in foreign exchange forward contract liabilities. The increase was also due to income taxes payable of $69.4 million driven largely by the one-time capital gain recognized in the period. Deferred tax liabilities increased by $7.6 million, due to the acquisition of 6RS. The growth in sales of our subscription solutions offering, along with the acquisition of 6RS, resulted in an increase of deferred revenue of $21.6 million.


Question: What would be the average cash, cash equivalents and marketable securities for 2018 and 2019 if cash, cash equivalents and marketable securities as at 2018 year end was $2,100,000 thousands)? (in thousand)

Solution:
def solution():
    # Define variables name and value
    cash_equivalents_2019 = 2455194
    cash_equivalents_2018 = 2100000
    
    # Do math calculation to get the answer
    answer = (cash_equivalents_2019 + cash_equivalents_2018) / 2
    
    return answer

Answer: 2277597
||Balance at Beginning of Year|Additions Charged to Costs and Expenses|Additions Charged to Other Accounts|Deductions|Balance at End of Year|
|Valuation allowance for deferred tax assets:||||||
|Fiscal 2019|$204.5|$16.2|$175.8|$(64.4)|$332.1|
|Fiscal 2018|$210.1|$36.2|$—|$(41.8)|$204.5|
|Fiscal 2017|$161.8|$15.2|$37.6|$(4.5)|$210.1|
 Note 22. Supplemental Financial Information Cash paid for income taxes amounted to $77.6 million, $25.9 million and $48.4 million during fiscal 2019, 2018 and 2017, respectively. Cash paid for interest on borrowings amounted to $347.9 million, $85.3 million and $82.5 million during fiscal 2019, 2018 and 2017, respectively. A summary of additions and deductions related to the valuation allowance for deferred tax asset accounts for the years ended March 31, 2019, 2018 and 2017 follows (amounts in millions):


Question: What would be the percentage change in the Balance at End of Year between 2018 and 2019 if the Balance at End of Year in 2019 was $500 million instead? (in percent)

Solution:
def solution():
    # Define variables name and value
    balance_2018 = 204.5
    balance_2019_modified = 500

    # Do math calculation to get the answer
    answer = (balance_2019_modified - balance_2018) / balance_2018 * 100

    return answer

Answer: 144.49877750611248
|Year Ended May 31,|||||
||||Percent Change||
|(Dollars in millions)|2019|Actual|Constant|2018|
|Research and development (1)|$5,063|-2%|0%|$5,163|
|Stock-based compensation|963|5%|5%|921|
|Total expenses|$6,026|-1%|0%|$6,084|
|% of Total Revenues|15%|||15%|
 Research and Development Expenses: research and development expenses consist primarily of personnel related expenditures. We intend to continue to invest significantly in our research and development efforts because, in our judgment, they are essential to maintaining our competitive position. (1) Excluding stock-based compensation On a constant currency basis, total research and development expenses were flat in fiscal 2019, as lower employee related expenses including lower variable compensation were offset by an increase in stock-based compensation expenses .


Question: Given that the amount of stock-based compensation in 2019 was 810 million instead, what was the percentage of expenses that went towards it in 2019? (in percent)

Solution:
def solution():
    # Define variables name and value
    stock_based_compensation = 810
    research_and_development = 5063
    
    # Do math calculation to get the answer
    answer = (stock_based_compensation / (stock_based_compensation + research_and_development)) * 100
    
    return answer

Answer: 13.791929167376127
|2019|Americas|Europe|Asia|Total|% of total|
|||(Amounts in thousands)||||
|TS|$67,728|$3,285|$646|$71,159|90%|
|HPP|5,294|771|1,837|7,902|10%|
|Total|$72,522|$4,056|$2,483|$79,061|100%|
|% of total|92%|5%|3%|100%||
|2018||||||
|TS|$52,034|$9,059|$1,344|$62,437|86%|
|HPP|8,424|1,266|789|10,479|14%|
|Total|$60,458|$10,325|$2,133|$72,916|100%|
|% of total|83%|14%|3%|100%||
 The following table details the Company’s sales by operating segment for fiscal years ended September 30, 2019 and 2018. The Company’s sales by geographic area based on the location of where the products were shipped or services rendered are as follows: Substantially all Americas amounts are United States.


Question: What is the percentage change in Asia sales between 2018 and 2019 if the 2019 sales is doubled and increased by another 400 thousand? (in percent)

Solution:
def solution():
    # Define variables name and value
    asia_sales_2019 = 2483
    asia_sales_2018 = 2133
    doubling_sales = 2
    additional_amount = 400

    # Do math calculation to get the answer
    answer = ((asia_sales_2019 * doubling_sales + additional_amount) - asia_sales_2018) / asia_sales_2018 * 100
    
    return answer

Answer: 151.57055789967183
||2019|2018|
|Cash flows provided by operating activities|$115.3|$66.8|
|Payments for property, plant and equipment|(90.6)|(62.8)|
|Free cash flow|24.7|4.0|
 Free Cash Flow. We define free cash flow ("FCF"), a non-GAAP financial measure, as cash flow provided by operations less capital expenditures. FCF was$ 24.7 million for fiscal 2019 compared to $4.0 million for fiscal 2018, an increase of $20.7 million. Non-GAAP financial measures, including FCF, are used for internal management assessments because such measures provide additional insight to investors into ongoing financial performance. In particular, we provide FCF because we believe it offers insight into the metrics that are driving management decisions. We view FCF as an important financial metric as it demonstrates our ability to generate cash and can allow us to pursue opportunities that enhance shareholder value. FCF is a non-GAAP financial measure that should be considered in addition to, not as a substitute for, measures of our financial performance prepared in accordance with GAAP. A reconciliation of FCF to our financial statements that were prepared using GAAP follows (in millions):


Question: What would be the percentage change in the free cash flow between 2018 and 2019 if the free cash flow in 2019 was $10 million instead? (in percent)

Solution:
def solution():
    # Define variables name and value
    fcf_2018 = 4.0
    fcf_2019_new = 10

    # Do math calculation to get the answer
    answer = (fcf_2019_new - fcf_2018) / fcf_2018 * 100
    
    return answer

Answer: 150
||2019|2018|
||£m|£m|
|Total equity|826.3|766.9|
|Net debt|334.1|235.8|
|Total invested capital|1,160.4|1,002.7|
|Average invested capital|1,081.6|992.9|
|Average invested capital (excluding IFRS 16)|1,061.2|992.9|
|Operating profit as reported under IFRS|245.0|299.1|
|Adjustments (see adjusted operating profit)|37.7|(34.2)|
|Adjusted operating profit|282.7|264.9|
|Taxation|(80.6)|(73.1)|
|Adjusted operating profit after tax|202.1|191.8|
|Adjusted operating profit after tax (excluding IFRS 16)|201.2|191.8|
|Return in invested capital|18.7%|19.3%|
|Return in invested capital (excluding IFRS 16)|19.0%|19.3%|
 Return on invested capital (ROIC) ROIC measures the after tax return on the total capital invested in the business. It is calculated as adjusted operating profit after tax divided by average invested capital. An analysis of the components is as follows:


Question: What would the change in net debt in 2019 from 2018 be if the amount in 2019 was 330.0 million instead? (in million)

Solution:
def solution():
    # Define variables name and value
    net_debt_2019 = 330.0
    net_debt_2018 = 235.8

    # Do math calculation to get the answer
    answer = net_debt_2019 - net_debt_2018

    return answer

Answer: 94.19999999999999
|||Years Ended||2019 vs. 2018||
||July 27, 2019|July 28, 2018|July 29, 2017|Variance in Dollars|Variance in Percent|
|Product revenue:||||||
|Americas|$22,754|$21,088|$20,487|$1,666|8%|
|Percentage of product revenue|58.3%|57.5%|57.4%|||
|EMEA|10,246|9,671|9,369|575|6%|
|Percentage of product revenue|26.3%|26.3%|26.2%|||
|APJC|6,005|5,950|5,849|55|1%|
|Percentage of product revenue|15.4%|16.2%|16.4%|||
|Total|$39,005|$36,709|$35,705|$2,296|6%|
 Product Revenue by Segment The following table presents the breakdown of product revenue by segment (in millions, except percentages): Amounts may not sum and percentages may not recalculate due to rounding. Americas Product revenue in the Americas segment increased by 8%, driven by growth in the enterprise, public sector and commercial markets. These increases were partially offset by a product revenue decline in the service provider market. From a country perspective, product revenue increased by 9% in the United States, 26% in Mexico and 6% in Canada, partially offset by a product revenue decrease of 1% in Brazil. EMEA The increase in product revenue in the EMEA segment of 6% was driven by growth in the public sector and enterprise markets, partially offset by a decline in the service provider market. Product revenue in the commercial market was flat. Product revenue from emerging countries within EMEA increased by 9%, and product revenue for the remainder of the EMEA segment increased by 5%. APJC Product revenue in the APJC segment increased by 1%, driven by growth in the public sector and enterprise markets, partially offset by declines in the service provider and commercial markets. From a country perspective, product revenue increased by 9% in Japan and 5% in India, partially offset by a product revenue decrease of 16% in China.


Question: What would be the percentage change in the total revenue from all segments between 2017 and 2018 if total revenue in 2018 was $50,000 million instead? (in percent)

Solution:
def solution():
    # Define variables name and value
    total_revenue_2018 = 50000
    total_revenue_2017 = 35705
    
    # Do math calculation to get the answer
    answer = (total_revenue_2018 - total_revenue_2017) / total_revenue_2017 * 100
    
    return answer

Answer: 40.03640946646128
|||Year ended December 31,||
||2019|2018|2017|
|Revenues|$1,177.2|$1,114.0|$1,051.6|
|Expenses:||||
|Operating expenses|646.0|625.4|569.5|
|Depreciation and amortization|236.2|217.0|206.5|
|Transition and integration costs|5.4|6.6|13.1|
|Total expenses|887.6|849.0|789.1|
|Operating income|289.6|265.0|262.5|
|Operating margin|24.6%|23.8%|25.0%|
|Interest expense, net|(63.5)|(51.7)|(57.5)|
|Other expense, net|(1.4)|(7.1)|(12.6)|
|Earnings before income taxes and equity in losses of unconsolidated affiliates|224.7|206.2|192.4|
|Income tax expense (benefit)|41.9|37.7|(61.8)|
|Earnings before equity in losses of unconsolidated affiliates|182.8|168.5|254.2|
|Equity in losses of unconsolidated affiliates, net of tax|(74.0)|—|—|
|Net earnings|$108.8|$168.5|$254.2|
|Earnings per share:||||
|Net earnings per share attributable to Black Knight common shareholders:||||
|Diluted|$0.73|$1.14|$1.47|
|Weighted average shares of common stock outstanding:||||
|Diluted|148.6|148.2|152.4|
 Results of Operations Consolidated Results of Operations The following tables present certain financial data for the periods indicated (dollars in millions):


Question: What would be the change in operating income between 2017 and 2018 if the operating income in 2017 was $200 million instead? (in million)

Solution:
def solution():
    # Define variables name and value
    operating_income_2018 = 265.0
    operating_income_2017 = 200.0
    
    # Do calculation to get the change in operating income
    change_in_operating_income = operating_income_2018 - operating_income_2017
    
    return change_in_operating_income

Answer: 65
||2019|2018|$ CHANGE|% CHANGE|
|Operating costs|(6,942)|(6,946)|4|0.1%|
|Adjusted EBITDA|5,414|5,321|93|1.7%|
|Adjusted EBITDA margin|43.8%|43.4%||0.4 pts|
 OPERATING COSTS AND ADJUSTED EBITDA Bell Wireline operating costs were essentially stable year over year, decreasing by 0.1% in 2019, compared to 2018, resulting from: • The favourable impact from the adoption of IFRS 16 in 2019 • Continued effective cost containment • Lower pension expenses reflecting reduced DB costs These factors were partly offset by: • Higher cost of goods sold related to the growth in product sales • Increased costs from the acquisition of Axia • Greater payments to other carriers from increased sales of international wholesale long distance minutes Bell Wireline adjusted EBITDA grew by 1.7% in 2019, compared to last year, reflecting the growth in revenues as operating expenses were relatively stable year over year. Adjusted EBITDA margin increased to 43.8% in 2019, compared to the 43.4% achieved last year, resulting from the favourable impact of the adoption of IFRS 16 in 2019 and the flow-through of the service revenue growth, offset in part by higher low-margin product sales in our total revenue base.


Question: What would the sum of the adjusted EBITDA in 2018 and 2019 be if the amount for 2019 is 5,400?

Solution:
def solution():
    # Define variables name and value
    adjusted_EBITDA_2019 = 5400
    adjusted_EBITDA_2018 = 5321
    
    # Do math calculation to get the answer
    answer = adjusted_EBITDA_2019 + adjusted_EBITDA_2018
    
    return answer

Answer: 10721
||2019|2018|
||RMB’Million|RMB’Million|
|Transaction costs (Note (a))|85,702|69,976|
|Employee benefits expenses (Note (b) and Note 13)|53,123|42,153|
|Content costs (excluding amortisation of intangible assets)|48,321|39,061|
|Amortisation of intangible assets (Note (c) and Note 20)|28,954|25,616|
|Bandwidth and server custody fees (excluding depreciation of right-of-use assets)|16,284|15,818|
|Depreciation of property, plant and equipment, investment properties and right-of-use assets (Note 16 and Note 18)|15,623|8,423|
|Promotion and advertising expenses|16,405|19,806|
|Travelling and entertainment expenses|1,773|1,450|
|Auditor’s remuneration|||
|– Audit and audit-related services|105|110|
|– Non-audit services|43|26|
 8 EXPENSES BY NATURE Note: (a) Transaction costs primarily consist of bank handling fees, channel and distribution costs. (b) During the year ended 31 December 2019, the Group incurred expenses for the purpose of research and development of approximately RMB30,387 million (2018: RMB22,936 million), which comprised employee benefits expenses of approximately RMB24,478 million (2018: RMB19,088 million). During the year ended 31 December 2019, employee benefits expenses included the share-based compensation expenses of approximately RMB10,500 million (2018: RMB7,900 million). No significant development expenses had been capitalised for the years ended 31 December 2019 and 2018. (c) Included the amortisation charges of intangible assets mainly in respect of media contents. During the year ended 31 December 2019, amortisation of intangible assets included the amortisation of intangible assets resulting from business combinations of approximately RMB1,051 million (2018: RMB524 million).


Question: How much is the change in Promotion and advertising expenses from 2018 to 2019 if 2019 Promotion and advertising expenses was 15,000? (in million)

Solution:
def solution():
    # Define variables name and value
    promotion_and_advertising_expenses_2019 = 15000
    promotion_and_advertising_expenses_2018 = 19806
    
    # Do math calculation to get the answer
    answer = promotion_and_advertising_expenses_2019 - promotion_and_advertising_expenses_2018
    
    return answer

Answer: -4806