Ayushnangia/finbench-data huggingface dataset:
|||2019|(Restated) 2018|
||Note|£m|£m|
|Staff costs|7|(56.0)|(54.5)|
|Contractor costs||(0.4)|(0.4)|
|Depreciation of property, plant and equipment|14|(4.9)|(4.9)|
|Amortisation of intangible assets|13|(4.0)|(4.1)|
|Profit on sale of property, plant and equipment||0.1|–|
 6. Operating profit The Group has identified a number of items which are material due to the significance of their nature and/or amount. These are listed separately here to provide a better understanding of the financial performance of the Group: Following the application of IFRS 16, depreciation of property, plant and equipment has been restated for the year ended 31 March 2018 (note 2).


Question: What would the percentage change in staff costs in 2019 from 2018 be if the amount in 2019 was 56.5 million instead? (in percent)

Python solution:
def solution():
    # Define variables name and value
    staff_costs_2018 = -54.5
    staff_costs_2019 = -56.5
    
    # Do math calculation to get the answer
    answer = ((staff_costs_2019 - staff_costs_2018) / staff_costs_2018) * 100
    
    return answer

Answer: 3.6697247706
|(In thousands)|2019|2018|
|Raw materials|$36,987|$45,333|
|Work in process|1,085|1,638|
|Finished goods|60,233|52,877|
|Total Inventory, net|$98,305|$99,848|
 Note 7 – Inventory As of December 31, 2019 and 2018, inventory was comprised of the following: Inventory reserves are established for estimated excess and obsolete inventory equal to the difference between the cost of the inventory and the estimated net realizable value of the inventory based on estimated reserve percentages, which consider historical usage, known trends, inventory age and market conditions. As of December 31, 2019 and 2018, our inventory reserve was $34.1 million and $30.0 million, respectively.


Question: What would be the change in raw materials between 2018 and 2019 if raw materials in 2019 was $50,000 thousand instead? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    raw_materials_2019 = 50000
    raw_materials_2018 = 45333
    
    # Do math calculation to get the answer
    answer = raw_materials_2019 - raw_materials_2018
    
    return answer

Answer: 4667
||As at December 31||
||2019|2018|
|Common shares outstanding 1|||
|Class A Voting|111,154,811|111,155,637|
|Class B Non-Voting|393,770,507|403,657,038|
|Total common shares|504,925,318|514,812,675|
|Options to purchase Class B|||
|Non-Voting Shares|||
|Outstanding options|3,154,795|2,719,612|
|Outstanding options exercisable|993,645|1,059,590|
 OUTSTANDING COMMON SHARES 1 Holders of our Class B Non-Voting Shares are entitled to receive notice of and to attend shareholder meetings; however, they are not entitled to vote at these meetings except as required by law or stipulated by stock exchanges. If an offer is made to purchase outstanding Class A Shares, there is no requirement under applicable law or our constating documents that an offer be made for the outstanding Class B Non-Voting Shares, and there is no other protection available to shareholders under our constating documents. If an offer is made to purchase both classes of shares, the offer for the Class A Shares may be made on different terms than the offer to the holders of Class B Non-Voting Shares. As at February 29, 2020, 111,154,811 Class A Shares, 393,770,507
Class B Non-Voting Shares, and 3,145,274 options to purchase
Class B Non-Voting Shares were outstanding.


Question: If Total common shares in 2019 were 510,000,000, what was the percentage increase / (decrease) from 2018 to 2019? (in percent)

Python solution:
def solution():
    # Define variables name and value
    total_common_shares_2019 = 510000000
    total_common_shares_2018 = 514812675
    
    # Do math calculation to get the answer
    answer = (total_common_shares_2019 / total_common_shares_2018 - 1) * 100
    
    return answer

Answer: -0.9348400367
||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)

Python 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: 1.8
||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)

Python 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?

Python 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: 2.3151497613
|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)

Python 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)

Python 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)

Python 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: 68.9591349292
|||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)

Python 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 ?

Python 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)

Python 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: 135.1281448389
||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?

Python 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?

Python 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)

Python 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