Ayushnangia/finbench-data huggingface dataset:
||Fiscal Year Ended June 30,|||
||2019|2018|2017|
|||(U.S. $ in thousands, except per share data)||
|||*As Adjusted|*As Adjusted|
|Numerator:||||
|Net loss attributable to ordinary shareholders|$(637,621)|$(113,432)|$(37,449)|
|Denominator:||||
|Weighted-average ordinary shares outstanding—basic|238,611|231,184|222,224|
|Weighted-average ordinary shares outstanding—diluted|238,611|231,184|222,224|
|Net loss per share attributable to ordinary shareholders:||||
|Basic net loss per share|$(2.67)|$(0.49)|$(0.17)|
|Diluted net loss per share|$(2.67)|$(0.49)|$(0.17)|
 17. Earnings Per Share Basic earnings per share is computed by dividing the net income attributable to ordinary shareholders by the weighted-average number of ordinary shares outstanding during the period. Diluted earnings per share is computed by giving effect to all potential weighted-average dilutive shares. The dilutive effect of outstanding awards is reflected in diluted earnings per share by application of the treasury stock method. A reconciliation of the calculation of basic and diluted loss per share is as follows: * As adjusted to reflect the impact of the full retrospective adoption of IFRS 15. See Note 2 for further details. For fiscal years ended June 30, 2019, 2018 and 2017 , 9.6 million, 12.8 million and 13.8 million, respectively of potentially anti-dilutive shares were excluded from the computation of net loss per share.


Question: In fiscal year ended June 30, 2019, what would be the difference in the weighted-average ordinary shares outstanding between the basic and the diluted if number of basic shares outstanding increased by 50,000 thousand with diluted shares constant?

Python solution:
def solution():
    # Define variables name and value
    basic_shares_outstanding = 238611
    increase_in_basic_shares = 50000

    # Do math calculation to get the answer
    answer = (increase_in_basic_shares + basic_shares_outstanding) - basic_shares_outstanding
    
    return answer

Answer: 50000
||Fiscal||
||2019|2018|
|Net cash provided by operating activities|$181,401|$236,111|
|Purchases of property and equipment|(83,283)|(90,757)|
|Acquisition of businesses, net of cash acquired|(18,881)|(45,448)|
|Proceeds from sale of discontinued operation (the Hull Business)|—|25,000|
|Proceeds from sales of other entities|—|6,250|
|Borrowings, net of repayments|263|(173,252)|
|Issuance of shares under employee stock plans|11,811|10,574|
|Repurchase of common stock|(77,410)|(100,000)|
|Net settlement of restricted common stock|(15,179)|(36,320)|
 Sources and Uses of Cash Historically, our primary source of cash has been provided by operations. Other sources of cash in the past three fiscal years include proceeds from our Euro Term Loan used to finance our acquisition of Rofin, proceeds received from the sale of our stock through our employee stock purchase plan as well as borrowings under our revolving credit facility (‘‘Revolving Credit Facility’’). Our historical uses of cash have primarily been for acquisitions of businesses and technologies, the repurchase of our common stock, capital expenditures and debt issuance costs. Supplemental information pertaining to our historical sources and uses of cash is presented as follows and should be read in conjunction with our Consolidated Statements of Cash Flows and notes thereto (in thousands): Net cash provided by operating activities decreased by $54.7 million in fiscal 2019 compared to fiscal 2018. The decrease in cash provided by operating activities in fiscal 2019 was primarily due to lower net income and lower cash flows from income taxes payable and deferred taxes, partially offset by higher cash flows from accounts receivable, inventories, deferred revenue and accrued payroll. We believe that our existing cash, cash equivalents and short term investments combined with cash to be provided by operating activities and amounts available under our Revolving Credit Facility will be adequate to cover our working capital needs and planned capital expenditures for at least the next 12 months to the extent such items are known or are reasonably determinable based on current business and market conditions. However, we may elect to finance certain of our capital expenditure requirements through other sources of capital. We continue to follow our strategy to further strengthen our financial position by using available cash flow to fund operations.


Question: What would the percentage change in Issuance of shares under employee stock plans in 2019 from 2018 be if the amount in 2019 was $12,000 thousand instead? (in percent)

Python solution:
def solution():
    # Define variables name and value
    issuance_2019 = 12000
    issuance_2018 = 10574

    # Do math calculation to get the answer
    answer = (issuance_2019 - issuance_2018) / issuance_2018 * 100
    
    return answer

Answer: 13.485908833
|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: If the research and development expenses in 2018  was 7163 million instead, how much more would the research and development expenses in 2018 have been compared to 2019? (in million)

Python solution:
def solution():
    # Define variables name and value
    research_expense_2018 = 7163
    research_expense_2019 = 5063
    
    # Do math calculation to get the answer
    answer = research_expense_2018 - research_expense_2019
    
    return answer

Answer: 2100
||December 31,||
|(In millions)|2019|2018|
|Accruals not yet deductible for tax purposes|$ 17.4|$ 17.5|
|Net operating loss carryforwards|245.9|265.5|
|Foreign, federal and state credits|8.4|10.4|
|Employee benefit items|79.5|77.0|
|Capitalized expenses|32.2|8.9|
|Intangibles|21.8|—|
|Derivatives and other|47.7|38.0|
|Sub-total deferred tax assets|452.9|417.3|
|Valuation allowance|(197.6)|(218.4)|
|Total deferred tax assets|$ 255.3|$ 198.9|
|Depreciation and amortization|$ (37.0)|$ (26.8)|
|Unremitted foreign earnings|(10.0)|—|
|Intangible assets|—|(21.7)|
|Other|(0.4)|(0.4)|
|Total deferred tax liabilities|(47.4)|(48.9)|
|Net deferred tax assets|$ 207.9|$ 150.0|
 Deferred tax assets (liabilities) consist of the following: A valuation allowance has been provided based on the uncertainty of utilizing the tax benefits, mainly related to the following deferred tax assets: • $183.4 million of foreign items, primarily net operating losses; and • $7.7 million of state tax credits. For the year ended December 31, 2019, the valuation allowance decreased by $20.8 million. This is primarily driven by our Reinvent SEE initiatives and decreases in foreign tax rates. As of December 31, 2019, we have foreign net operating loss carryforwards of $899.4 million expiring in years beginning in 2020 with the majority of losses having an unlimited carryover. The state net operating loss carryforwards totaling $569.3 million expire in various amounts over 1 to 19 years.


Question: If Net deferred tax assets for 2019 was $208.3(in millions) instead, What is the percentage change of Net deferred tax assets from 2018 to 2019? (in percent)

Python solution:
def solution():
    # Define variables name and value
    net_deferred_tax_assets_2019 = 208.3
    net_deferred_tax_assets_2018 = 150.0
    
    # Do math calculation to get the answer
    answer = ((net_deferred_tax_assets_2019 - net_deferred_tax_assets_2018) / net_deferred_tax_assets_2018) * 100
    
    return answer

Answer: 38.8666666667
|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 debts to assets ratio in 2019 be if the total liabilities in 2019 was 70,000 thousand instead?

Python solution:
def solution():
    # Define variables name and value
    total_liabilities = 70000
    total_assets = 226067
    
    # Do math calculation to get the answer
    answer = total_liabilities / total_assets
    
    return answer

Answer: 0.3096427165
||Alan Jope CEO €'000 p.a.||Graeme Pitkethly CFO €'000 p.a.||
||2019|2020|2019|2020|
|Fixed Pay|1,450|1,508|1,103|1,136|
|Annual Bonus|2,175|2,262|1,323|1,363|
|MCIP* Match share award|2,186|2,273|1,330|1,370|
|Target Total Pay|5,811|6,043|3,756|3,869|
|Personal MCIP* Investment in|67%|67%|67%|67%|
|Unilever shares|1,457|1,516|886|913|
 Executive Director Fixed Pay increases The Committee has approved Fixed Pay increases of 4% for the CEO and 3% for the CFO, effective from 1 January 2020. This is in line with the average increase awarded to the wider Unilever workforce in 2019 of 3.6%. These increases were awarded to recognise the strong leadership of both individuals in 2019, which was Alan Jope’s first year in the CEO role and a year of transformation for Unilever generally. We also wanted to recognise Graeme Pitkethly’s seniority in his role, coming into his 5th year as CFO. When our CEO Alan Jope was appointed on 1 January 2019 he was appointed with Fixed Pay 14% below that of what the Committee proposed for his predecessor and at the lower quartile of our remuneration benchmarking peer group, despite Unilever being one of the largest companies in this peer group. This positioning was intentional, given Alan’s internal promotion on appointment. However, subject to Alan’s continuing good performance the Committee will, over time, continue to review his Fixed Pay positioning and progress this towards the market median benchmark. * MCIP at maximum (67%) investment of bonus.


Question: If the CFO target total pay increases by 10% in 2020, what will be the revised difference? (in million)

Python solution:
def solution():
    # Define variables name and value
    CEO_target_total_pay = 6043
    CFO_target_total_pay = 3869
    increase_percentage = 0.1
    
    # Do math calculation to get the answer
    answer = CEO_target_total_pay - (CFO_target_total_pay * (1 + increase_percentage))
    
    return answer

Answer: 1787.1
||International|Pinnacle Foods|Corporate|Total|
|Other cost of goods sold|$—|$3.7|$—|$3.7|
|Total cost of goods sold .|—|3.7|—|3.7|
|Severance and related costs|0.7|0.6|110.8|112.1|
|Accelerated depreciation|—|—|4.7|4.7|
|Contract/lease termination .|—|0.8|0.3|1.1|
|Consulting/professional fees .|0.2|—|38.1|38.3|
|Other selling, general and administrative expenses .|0.1|—|8.2|8.3|
|Total selling, general and administrative expenses|1.0|1.4|162.1|164.5|
|Consolidated total|$1.0|$5.1|$162.1|$168.2|
 Notes to Consolidated Financial Statements - (Continued) Fiscal Years Ended May 26, 2019, May 27, 2018, and May 28, 2017 (columnar dollars in millions except per share amounts)  During fiscal 2019, we recognized the following pre-tax expenses for the Pinnacle Integration Restructuring Plan: Included in the above results are $163.5 million of charges that have resulted or will result in cash outflows and $4.7 million in non-cash charges.


Question: What would be the proportion of cash charges that have resulted or will result in cash outflows over total consolidated pre-tax expenses if the total consolidated pre-tax expenses were $200 million?

Python solution:
def solution():
    # Define variables name and value
    cash_charges = 163.5
    total_consolidated_expenses = 200
    
    # Do math calculation to get the answer
    answer = cash_charges / total_consolidated_expenses
    
    return answer

Answer: 0.8175
||||Year Ended December 31,|
|(In thousands, unaudited)|2019|2018|2017|
|Net income (loss)|$ (19,931)|$ (50,571)|$ 65,299|
|Add (subtract):||||
|Interest expense, net of interest income|136,660|134,578|129,786|
|Income tax benefit|(3,714)|(24,127)|(124,927)|
|Depreciation and amortization|381,237|432,668|291,873|
|EBITDA|494,252|492,548|362,031|
|Adjustments to EBITDA:||||
|Other, net (1)|(8,847)|549|19,314|
|Investment distributions (2)|35,809|39,078|29,993|
|Gain on extinguishment of debt|(4,510)|—|—|
|Non-cash, stock-based compensation|6,836|5,119|2,766|
|Adjusted EBITDA|$ 523,540|$ 537,294|$ 414,104|
 Non-GAAP Measures In addition to the results reported in accordance with US GAAP, we also use certain non-GAAP measures such as EBITDA and adjusted EBITDA to evaluate operating performance and to facilitate the comparison of our historical results and trends. These financial measures are not a measure of financial performance under US GAAP and should not be considered in isolation or as a substitute for net income as a measure of performance and net cash provided by operating activities as a measure of liquidity. They are not, on their own, necessarily indicative of cash available to fund cash needs as determined in accordance with GAAP. The calculation of these non-GAAP measures may not be comparable to similarly titled measures used by other companies. Reconciliations of these non-GAAP measures to the most directly comparable financial measures presented in accordance with GAAP are provided below. EBITDA is defined as net earnings before interest expense, income taxes, and depreciation and amortization. Adjusted EBITDA is comprised of EBITDA, adjusted for certain items as permitted or required under our credit facility as described in the reconciliations below. These measures are a common measure of operating performance in the telecommunications industry and are useful, with other data, as a means to evaluate our ability to fund our estimated uses of cash. The following tables are a reconciliation of net income (loss) to adjusted EBITDA for the years ended December 31, 2019, 2018 and 2017: (1) Other, net includes the equity earnings from our investments, dividend income, income attributable to noncontrolling interests in subsidiaries, acquisition and transaction related costs including integration and severance, non-cash pension and post-retirement benefits and certain other miscellaneous items. (2) Includes all cash dividends and other cash distributions received from our investments.


Question: If the Net income (loss) in 2019 reduced to (14,047 thousand) what would be the increase/ (decrease) in Net income (loss) from 2018 to 2019? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    net_income_loss_2019 = -14047
    net_income_loss_2018 = -50571
    
    # Do math calculation to get the answer
    answer = net_income_loss_2019 - net_income_loss_2018
    
    return answer

Answer: 36524
||December 31,||
|(in millions, except percentages)|2019|2018|
|Total ARR|$179.5|$162.6|
|Year-over-year percentage increase|10%|20%|
|Subscription ARR|$113.9|$95.9|
|Year-over-year percentage increase|19%|32%|
|Perpetual license support ARR|$65.6|$66.7|
|Year-over-year percentage increase (decrease)|(2)%|6%|
 Annual Recurring Revenue Beginning with the fourth quarter of 2018, we began monitoring a new operating metric, total annual recurring revenue (“Total ARR”), which is defined as the annualized value of all recurring revenue contracts active at the end of a reporting period. Total ARR includes the annualized value of subscriptions (“Subscription ARR”) and the annualized value of software support contracts related to perpetual licenses (“Perpetual license support ARR”) active at the end of a reporting period and does not include revenue reported as perpetual license or professional services in our consolidated statement of operations. We are monitoring these metrics because they align with how our customers are increasingly purchasing our solutions and how we are managing our business. These ARR measures should be viewed independently of revenue, unearned revenue, and customer arrangements with termination rights as ARR is an operating metric and is not intended to be combined with or replace those items. ARR is not an indicator of future revenue and can be impacted by contract start and end dates and renewal rates. ARR metrics as of December 31, 2019 and 2018 were as follows (unaudited):


Question: What would be the percentage change in the perpetual license support ARR from 2018 to 2019, if the perpetual license support ARR for 2019 was $69 million instead? (in percent)

Python solution:
def solution():
    # Define variables name and value
    perpetual_license_support_ARR_2019 = 69
    perpetual_license_support_ARR_2018 = 66.7
    
    # Do math calculation to get the answer
    answer = (perpetual_license_support_ARR_2019 - perpetual_license_support_ARR_2018) / perpetual_license_support_ARR_2018 * 100
    
    return answer

Answer: 3.4482758621
||2019|2018|
||£m|£m|
|Performance Share Plan|5.1|4.7|
|Employee Share Ownership Plan|1.1|1.0|
|Total expense recognised in Income Statement|6.2|5.7|
 Share-based payments Disclosures of the share-based payments offered to employees are set out below. More detail on each scheme is given in the Annual Report on Remuneration 2019 on pages 102 to 132. The charge to the Income Statement in respect of share-based payments is made up as follows:


Question: What would the change in the amount for Performance Share Plan from 2018 to 2019 be if the amount in 2019 was 5.7 million instead? (in million)

Python solution:
def solution():
    # Define variables name and value
    performance_share_plan_2019 = 5.7
    performance_share_plan_2018 = 4.7
    
    # Do math calculation to get the answer
    answer = performance_share_plan_2019 - performance_share_plan_2018
    
    return answer

Answer: 1
|||Fiscal year ended January 31,||
||2019|2018|2017|
|||(in millions)||
|Interest and investment expense, net|$(52.1)|$(34.5)|$(29.7)|
|Gain (loss) on foreign currency|5.1|(3.3)|(3.3)|
|Gain (loss) on strategic investments|12.5|(16.4)|0.3|
|Other income|16.8|6.0|8.5|
|Interest and other expense, net|$(17.7)|$(48.2)|$(24.2)|
 Interest and Other Expense, Net The following table sets forth the components of interest and other expense, net: Interest and other expense, net, positively changed by $30.5 million during fiscal 2019, as compared to fiscal 2018, primarily driven by curtailment gains on our pension plans, mark-to-market gains on certain of our privately-held strategic investments, realized gains on sales of strategic investments, offset by an increase in interest expense resulting from our term loan entered into on December 17, 2018 in aggregate principal amount of $500 million and mark-to-market losses on marketable securities. Interest and other expense, net, increased $24.0 million during fiscal 2018, as compared to fiscal 2017, primarily related to increases in impairment losses on certain of our privately-held strategic investments and interest expense resulting from our June 2017 issuance of $500.0 million aggregate principal amount of 3.5% notes due June 15, 2027. Interest expense and investment income fluctuates based on average cash, marketable securities and debt balances, average maturities and interest rates. Gains and losses on foreign currency are primarily due to the impact of re-measuring foreign currency transactions and net monetary assets into the functional currency of the corresponding entity. The amount of the gain or loss on foreign currency is driven by the volume of foreign currency transactions and the foreign currency exchange rates for the year


Question: How much did net interest and investment expense increase over fiscal year ending January 31, 2019 if it was -$40 million in the prior year? (in percent)

Python solution:
def solution():
    # Define variables name and value
    interest_expense_2019 = 52.1
    interest_expense_prior_year = 40
    
    # Do math calculation to get the answer
    answer = (interest_expense_2019 - interest_expense_prior_year) / interest_expense_prior_year * 100
    
    return answer

Answer: 30.25
|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 average amount of revenues in 2018 and 2019 if the value in 2019 decreased by $200 thousand? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    revenue_2019 = 6490
    revenue_decrease = 200
    revenue_2018 = 7859
    
    # Do math calculation to get the answer
    average_revenue = (revenue_2019 - revenue_decrease + revenue_2018) / 2
    
    return average_revenue

Answer: 7074.5