Ayushnangia/finbench-data huggingface dataset:
|(dollars in millions)|2019|2018|2017|% Change 2019 - 2018|
|Digital Media|$7,208.3|$5,857.7|$4,480.8|23%|
|Digital Experience|2,670.7|1,949.3|1,552.5|37%|
|Publishing|115.5|115.2|100.6|*|
|Total subscription revenue|$9,994.5|$7,922.2|$6,133.9|26%|
 Subscription Revenue by Segment Our subscription revenue is comprised primarily of fees we charge for our subscription and hosted service offerings including Creative Cloud and certain of our Digital Experience and Document Cloud services. We recognize subscription revenue ratably over the term of agreements with our customers, beginning with commencement of service. We have the following reportable segments: Digital Media, Digital Experience and Publishing. Subscription revenue by reportable segment for fiscal 2019, 2018 and 2017 is as follows: (*) Percentage is less than 1% Our product revenue is primarily comprised of revenue from distinct on-premise software licenses recognized at a point in time and certain of our OEM and royalty agreements. Our services and support revenue is comprised of consulting, training and maintenance and support, primarily related to the licensing of our enterprise offerings and the sale of our hosted Digital Experience services. Our support revenue also includes technical support and developer support to partners and developer organizations related to our desktop products. Our maintenance and support offerings, which entitle customers to receive desktop product upgrades and enhancements or technical support, depending on the offering, are generally recognized ratably over the term of the arrangement.


Question: If publishing generated $200 (in millions) in 2019 instead, what would be its percentage change? (in percent)

Python solution:
def solution():
    # Define variables name and value
    publishing_2019 = 200
    publishing_2018 = 115.2

    # Do math calculation to get the answer
    percentage_change = ((publishing_2019 - publishing_2018) / publishing_2018) * 100
    
    return percentage_change

Answer: 73.6111111111
|||Fiscal year||% Change|
|(in millions of €)|2019|2018|Actual|Comp.|
|Europe, C. I. S., Africa, Middle East|44,360|42,782|4%|4%|
|therein: Germany|12,282|11,729|5%|4 %|
|Americas|23,796|22,115|8%|3%|
|therein: U. S.|17,993|16,012|12%|6%|
|Asia, Australia|18,693|18,147|3%|2%|
|therein: China|8,405|8,102|4%|3%|
|Siemens|86,849|83,044|5 %|3 %|
|therein: emerging markets1|27,607|28,272|(2) %|(2) %|
 1 As defined by the International Monetary Fund. Revenue related to external customers went up moderately yearover- year on growth in nearly all industrial businesses. SGRE and Siemens Healthineers posted the highest growth rates, while revenue at Gas and Power declined moderately in a difficult market environment. The revenue decline in emerging markets was due mainly to lower revenue in Egypt, where in fiscal 2018 Gas and Power recorded sharply higher revenue from large orders. Revenue in Europe, C. I. S., Africa, Middle East increased moderately on growth in a majority of industrial businesses, driven by substantial growth at SGRE. Gas and Power posted a clear decline in a difficult market environment. In Germany, revenue was up moderately with significant growth in Mobility and Gas and Power, partly offset by a decline in SGRE. In the Americas, revenue came in clearly higher year-over-year, benefiting from positive currency translation effects. Siemens Healthineers, Smart Infrastructure and Gas and Power recorded the largest increases, while SGRE posted clearly lower revenue in the region. In the U. S., all industrial businesses posted higher revenues year-over-year, with SGRE and Smart Infrastructure recording the strongest growth rates. Revenue in Asia, Australia rose moderately year-over-year on growth in the majority of industrial businesses, led by Siemens Healthineers and Digital Industries. Gas and Power and SGRE posted lower revenue year-over-year. In China, revenue was also
up in the majority of industrial businesses, led by Siemens Healthineers. In contrast, SGRE posted substantially lower revenue year-over-year in that country.


Question: If the orders in 2019 increased to 23,000, what is the increase / (decrease) in the orders for Asia and Australia from 2018 to 2019? (in million)

Python solution:
def solution():
    # Define variables name and value
    orders_2019 = 23000
    orders_2018 = 18147
    
    # Do math calculation to get the answer
    answer = orders_2019 - orders_2018
    
    return answer

Answer: 4853
||Year ended December 31, 2019|Year ended December 31, 2018|Year ended December 31, 2017|
|Income tax benefit (expense) computed at statutory rate|(297)|(353)|(238)|
|Non-deductible and non-taxable permanent differences, net|4|45|17|
|Income (loss) on equity-method investments|—|—|—|
|Valuation allowance adjustments|2|141|92|
|Effect on deferred taxes of changes in enacted tax rates|14|(62)|(70)|
|Current year credits|50|43|40|
|Other tax and credits|(51)|(20)|(36)|
|Benefits from tax holidays|129|135|114|
|Net impact of changes to uncertain tax positions|(5)|(16)|(43)|
|Earnings of subsidiaries taxed at different rates|(2)|(9)|(19)|
|Income tax benefit (expense)|(156)|(96)|(143)|
 The tax holidays represent a tax exemption period aimed to attract foreign technological investment in certain tax jurisdictions. The effect of the tax benefits, from tax holidays for countries which are profitable, on basic earnings per share was $0.14, $0.15 and $0.13 for the years ended December 31, 2019, 2018, and 2017, respectively. These agreements are present in various countries and include programs that reduce up to and including 100% of taxes in years affected by the agreements. The Company’s tax holidays expire at various dates through the year ending December 31, 2028. In certain countries, tax holidays can be renewed depending on the Company still meeting certain conditions at the date of expiration of the current tax holidays. In May 2019, Switzerland voted a tax reform which cancelled all favourable tax regimes and introduced a single tax rate for all companies, which triggered the revaluation of all deferred tax assets and liabilities. Enactment of this law occurred in third quarter of 2019, which resulted in a tax benefit of $20 million. The remeasurement of deferred taxes was reconciled in the fourth quarter of 2019 to include the current year activity, which did not have a material impact on the net remeasurement.


Question: If the Income tax benefit (expense) in December 31, 2019 increased to 201 million, what is the revised increase / (decrease) from 2018 to 2019? (in million)

Python solution:
def solution():
    # Define variables name and value
    income_tax_benefit_2019 = 201
    income_tax_benefit_2018 = 96
    
    # Do math calculation to get the answer
    answer = income_tax_benefit_2019 - income_tax_benefit_2018
    
    return answer

Answer: 105
||Year-ended 31 March 2019|Year-ended 31 March 2018|
||$M|$M|
|Net cash flow from operating activities|142.9|147.7|
|Exceptional items|3.1|13.0|
|Net capital expenditure|(22.2)|(21.1)|
|Unlevered free cash flow|123.8|139.6|
 5 Alternative Performance Measures (“APM’s”) continued Unlevered Free Cash Flow Unlevered free cash flow represents net cash flow from operating activities adjusted for exceptional items and net capital expenditure. Unlevered free cash flow provides an understanding of the Group’s cash generation and is a supplemental measure of liquidity in respect of the Group’s operations without the distortions of exceptional and other non-operating items.


Question: What would the change in exceptional items in 2019 from 2018 be if the amount in 2019 was $3.0 million instead? (in million)

Python solution:
def solution():
    # Define variables name and value
    exceptional_items_2019 = 3.0
    exceptional_items_2018 = 13.0

    # Do math calculation to get the answer
    answer = exceptional_items_2019 - exceptional_items_2018

    return answer

Answer: -10
||Years Ended December 31,||Change||
||2019|2018|$|%|
|||(dollars in thousands)|||
|Research and development|$17,845|$22,450|$(4,605)|(21)%|
|Percent of revenues, net|36%|38%|||
 Research and Development Research and development expenses in 2019 decreased by $4.6 million, or 21%, as compared to 2018. The decrease was primarily due to a reduction in the number of full-time research and development personnel, resulting in a decrease of $3.1 million in compensation expense and $0.6 million in allocated facilities and information technology costs as compared to 2018. We did not incur restructuring costs in 2019, as compared to 2018 when $0.1 million was incurred as part of the 2018 Restructuring Plan (refer to Note 4 of the accompanying consolidated financial statements). Finally, the decrease was further driven by lower professional fees of $0.6 million, as we reduced the number of research and development contractors as compared to 2018.


Question: What would be the value of the difference in research and development expenses as a percentage of the company's 2018 expenses if the value of change is $5,000,000 instead while the value in 2018 remains constant? (in percent)

Python solution:
def solution():
    # Define variables name and value
    change_value = 5000000
    r_and_d_expenses_2018 = 22450000
    
    # Do math calculation to get the answer
    answer = (change_value / r_and_d_expenses_2018) * 100
    
    return answer

Answer: 22.271714922
||Year Ended December 31||
||2019|2018|
|Revenues (in thousands)|$ 224,913|$ 17,542|
|Loss from continuing operations (in thousands)|$ (13,432)|$ ( 7,792)|
|Loss per share - continuing operations|$           (0.42)|$          ( 0.35)|
|Weighted average number of common shares outstanding - basic and diluted|32,359,316|22,099,149|
 Our revenues for 2019 include $1.9 million related to the acquired MGI business. Our net loss for 2019 includes $0.3 million of net loss from the acquired MGI business. The following table provides unaudited pro forma information for the periods presented as if the MGI acquisition had occurred January 1, 2018. No adjustments have been made in the pro forma information for synergies that are resulting or planned from the MGI acquisition. The unaudited proforma information is not indicative of the results that may have been achieved had the companies been combined as of January 1, 2018, or of our future operating results.


Question: What would be the difference in loss per share between 2018 and 2019 if the loss per share in 2018 is halved and then increased by $0.01?

Python solution:
def solution():
    # Define variables name and value
    loss_per_share_2019 = -0.42
    loss_per_share_2018 = 0.35
    halved_loss_per_share_2018 = loss_per_share_2018 / 2
    increased_loss_2018 = halved_loss_per_share_2018 + 0.01

    # Do math calculation to get the answer
    answer = loss_per_share_2019 + increased_loss_2018
    
    return answer

Answer: -0.235
|Year Ended|Balance at Beginning of Year|Income Tax Expense (Benefit)|Reversal for State NOL Expiration and Utilization|Balance at End of Year|
|September 30, 2019|$104,858|$10,448|$(68,292)|$47,014|
|September 30, 2018|159,154|79,377|(133,673)|104,858|
|September 30, 2017|322,404|(32,154)|(131,096)|159,154|
 The valuation allowance activity for the years ended September 30, 2019, 2018, and 2017 is as follows: The Company completed an Internal Revenue Code Section 382 analysis of the loss carry forwards in 2009 and determined then that all of the Company’s loss carry forwards are utilizable and not restricted under Section 382. The Company has not updated its Section 382 analysis subsequent to 2009 and does not believe there have been any events subsequent to 2009 that would impact the analysis. The Company is required to recognize the financial statement benefit of a tax position only after determining that the relevant tax authority would more likely than not sustain the position following an audit. For tax positions meeting the more likely than not threshold, the amount recognized in the financial statements is the largest benefit that has a greater than 50 percent likelihood of being realized upon ultimate settlement with the relevant tax authority. The Company applies the interpretation to all tax positions for which the statute of limitations remained open. The Company had no liability for unrecognized tax benefits and did not recognize any interest or penalties during the years ended September 30, 2019, 2018, or 2017. The Company is subject to income taxes in the U.S. federal jurisdiction, and various state jurisdictions. Tax regulations within each jurisdiction are subject to the interpretation of the related tax laws and regulations and require significant judgment to apply. With few exceptions, the Company is no longer subject to U.S. federal, state and local, income tax examinations by tax authorities for fiscal years ending prior to 2004. We are generally subject to U.S. federal and state tax examinations for all tax years since 2003 due to our net operating loss carryforwards and the utilization of the carryforwards in years still open under statute. During the year ended September 30, 2018, the Company was examined by the U.S. Internal Revenue Service for fiscal year 2016. This examination resulted in no adjustments. The Company changed its fiscal year end in 2007 from March 31 to September 30.


Question: What would the percentage change in the end-of-year valuation allowance from 2018 to 2019 be if the amount in 2019 was 50,000 instead? (in percent)

Python solution:
def solution():
    # Define variables name and value
    end_of_year_2019_alternative = 50000
    end_of_year_2018 = 104858

    # Do math calculation to get the answer
    answer = (end_of_year_2019_alternative - end_of_year_2018) / end_of_year_2018 * 100
    
    return answer

Answer: -52.3164660779
|Year Ended December 31,|2019|2018|2017|
|Balance at beginning of period|$8,623|$9,724|$8,548|
|Plus: Amounts charged to cost and expenses|4,569|7,392|6,951|
|Less: Deductions|(4,798)|(8,493)|(5,775)|
|Balance at end of period|$8,394|$8,623|$9,724|
 Liability for Warranty Liability for Warranty Our products generally include warranties of 90 days to five years for product defects. We accrue for warranty returns at the time revenue is recognized based on our historical return rate and estimate of the cost to repair or replace the defective products. We engage in extensive product quality programs and processes, including actively monitoring and evaluating the quality of our component suppliers. The increasing complexity of our products will cause warranty incidences, when they arise, to be more costly. Our estimates regarding future warranty obligations may change due to product failure rates, material usage and other rework costs incurred in correcting a product failure. In addition, from time to time, specific warranty accruals may be recorded if unforeseen problems arise. Should our actual experience relative to these factors be worse than our estimates, we will be required to record additional warranty expense. Alternatively, if we provide for more reserves than we require, we will reverse a portion of such provisions in future periods. The liability for warranty obligations totaled $8.4 million and $8.6 million as of December 31, 2019 and 2018, respectively. These liabilities are included in accrued expenses in the accompanying Consolidated Balance Sheets. During 2017, we recorded a reduction in warranty expense related to a settlement with a third-party supplier for a defective component, the impact of which is reflected in the following table. A summary of warranty expense and write-off activity for the years ended December 31, 2019, 2018 and 2017 is as follows: (In thousands)


Question: What would be the change in the balance at the end of period between 2018 and 2019 if the balance at the end of 2019 was $10,000 thousand instead? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    balance_2019 = 10000
    balance_2018 = 8623
    
    # Do math calculation to get the answer
    answer = balance_2019 - balance_2018
    
    return answer

Answer: 1377
|||Fiscal year|
|(in millions of €)|2019|2018|
|Real Estate Services|145|140|
|Corporate items|(562)|631|
|Centrally carried pension expense|(264)|(423)|
|Amortization of intangible assets acquired in business combinations|(1,133)|(1,164)|
|Eliminations, Corporate Treasury and other reconciling items|(215)|(318)|
|Reconciliation to Consolidated financial Statements|(2,028)|(1,135)|
 A.3.10 Reconciliation to Consolidated Financial Statements The negative swing in Corporate items was mainly due to large positive effects in fiscal 2018 – the gain of € 900 million resulting from the transfer of Siemens’ shares in Atos SE to Siemens Pension- Trust e. V. and the gain of € 655 million from the sale of OSRAM Licht AG shares. These effects substantially outweighed a positive result in fiscal 2019 from the measurement of a major asset retirement obligation, which was previously reported in Centrally managed portfolio activities. Severance charges within Corporate items were € 99 million (€ 159 million in fiscal 2018).


Question: If the Centrally carried pension expense amounts to (500) million in 2019, what will be the percentage increase / (decrease) from 2018 to 2019? (in percent)

Python solution:
def solution():
    # Define variables name and value
    centrally_carried_pension_expense_2019 = -500
    centrally_carried_pension_expense_2018 = -423
    
    # Do math calculation to get the answer
    answer = (centrally_carried_pension_expense_2019 / centrally_carried_pension_expense_2018) - 1
    
    return answer * 100

Answer: 18.2033096927
||Years Ended December 31,||
||2018|2017|
|Expected life (years)|5.6|5.6|
|Risk-free interest rate|2.7%|1.9%|
|Expected volatility|26.4%|29.4%|
|Expected dividend yield|—|—|
 The fair value of options granted in the respective fiscal years are estimated on the date of grant using the Black-Scholes optionpricing model, acceptable under ASC 718, with the following weighted average assumptions: Expected volatilities are based on the Company’s historical common stock volatility, derived from historical stock price data for periods commensurate with the options’ expected life. The expected life of options granted represents the period of time options are expected to be outstanding, based primarily on historical employee option exercise behavior. The risk-free interest rate is based on the implied yield currently available on U.S. Treasury zero coupon bonds issued with a term equal to the expected life at the date of grant of the options. The expected dividend yield is zero, as the Company has historically paid no dividends and does not anticipate dividends to be paid in the future.


Question: What would be the change in risk-free interest rate between 2017 and 2018 if risk-free interest rate in 2018 was 5.0% instead? (in percent)

Python solution:
def solution():
    # Define variables name and value
    risk_free_interest_rate_2018 = 5.0
    risk_free_interest_rate_2017 = 1.9
    
    # Do math calculation to get the answer
    answer = risk_free_interest_rate_2018 - risk_free_interest_rate_2017
    
    return answer

Answer: 3.1
|||Revenue and Receipts||Unearned Revenue||
|||For the Year Ended As of||As of||
||January 31, 2020|February 1, 2019|February 2, 2018|January 31, 2020|February 1, 2019|
|Reseller revenue|$3,288|$2,355|$1,464|$3,787|$2,554|
|Internal-use revenue|82|41|46|57|29|
|Collaborative technology project receipts|10|4|—|n/a|n/a|
 Dell purchases our products and services directly from us, as well as through our channel partners. Information about our revenue and receipts, and unearned revenue from such arrangements, for the periods presented consisted of the following (table in millions): Sales through Dell as a distributor, which is included in reseller revenue, continues to grow rapidly. Customer deposits resulting from transactions with Dell were $194 million and $85 million as of January 31, 2020 and February 1, 2019, respectively.


Question: What would be the percentage change in the internal-use revenue between 2019 and 2020 if the internal-use revenue in 2019 was $50 million instead? (in percent)

Python solution:
def solution():
    # Define variables name and value
    internal_use_revenue_2020 = 82
    internal_use_revenue_2019_modified = 50
    
    # Do math calculation to get the answer
    answer = (internal_use_revenue_2020 - internal_use_revenue_2019_modified) / internal_use_revenue_2019_modified * 100
    
    return answer

Answer: 64
|||As of December 31,||
||2017|2018|2019|
|Employees||||
|Engineers|11,846|11,651|11,328|
|Technicians|7,432|7,494|7,416|
|Administrative Staff|798|784|833|
|Total|20,076|19,929|19,577|
 As of December 31, 2019, we had 19,577 employees, which included 11,328 engineers, 7,416 technicians and 833 administrative staff performing administrative functions on a consolidated basis. We have in the past implemented, and may in the future evaluate the need to implement, labor redundancy plans based on the work performance of our employees. Employee salaries are reviewed annually. Salaries are adjusted based on industry standards, inflation and individual performance. As an incentive, additional bonuses in cash may be paid at the discretion of management based on the performance of individuals. In addition, except under certain circumstances, R.O.C. law requires us to reserve from 10% to 15% of any offerings of our new common shares for employees’ subscription. Our employees participate in our profit distribution pursuant to our articles of incorporation. Employees are entitled to receive additional bonuses based on a certain percentage of our allocable surplus income. On February 26, 2020, our board of directors proposed an employee bonus in cash in the aggregate amount of NT$1,133 million (US$38 million) in relation to retained earnings in 2019. Our employees are not covered by any collective bargaining agreements. We believe we have a good relationship with our employees.


Question: If the number of Administrative Staff employed reduce to 521 in 2017, what is the revised average?

Python solution:
def solution():
    # Define variables name and value
    admin_staff_2017 = 521
    admin_staff_2018 = 784
    admin_staff_2019 = 833

    # Do math calculation to get the answer
    answer = (admin_staff_2017 + admin_staff_2018 + admin_staff_2019) / 3

    return answer

Answer: 712.6666666667
||Year ended December 31,||
||2019|2018|
|Numerators|||
|Numerator for basic and diluted earnings per share:|||
|Net income|$13,267|$3,654|
|Denominators|||
|Denominators for basic and diluted earnings per share:|||
|Weighted average shares outstanding - basic|17,424|20,721|
|Dilutive potential common shares|||
|Stock options and awards|1,101|296|
|Denominator for diluted earnings per share|18,525|21,017|
|Net income per common share - basic|$0.76|$0.18|
|Net income per common share – diluted|$0.72|$0.17|
 Earnings per share for the periods indicated were computed as follows (in thousands except per share amounts): Our weighted average shares outstanding has decreased due to the repurchase of our outstanding common stock through a modified Dutch auction tender offer (the “Tender Offer”) and the stock repurchase program announced on October 29, 2018. 11.     Earnings Per Share


Question: How did the company's Denominator for diluted earnings per share change from 2018 to 2019 if the original earnings for 2018 was doubled? (in percent)

Python solution:
def solution():
    # Define variables name and value
    denominator_2018 = 21017
    denominator_2019 = 18525

    # Do math calculation to get the answer
    answer = (denominator_2019 - (denominator_2018 * 2)) / (denominator_2018 * 2)

    return answer * 100

Answer: -55.9285340439