Ayushnangia/finbench-data huggingface dataset:
|($ in millions)||||
|For the year ended December 31:|2019|2018|Yr.-to-Yr. Percent Change|
|Interest expense|$1,344|$723|85.9%|
|Non-operating adjustment||||
|Acquisition-related charges|(228)|—|NM|
|Operating (non-GAAP) interest expense|$1,116|$723|54.4|
 Interest Expense NM-not meaningful Interest expense increased $621 million compared to 2018. Interest expense is presented in cost of financing in the Consolidated Income Statement only if the related external borrowings are to support the Global Financing external business. Overall interest expense (excluding capitalized interest) in 2019 was $1,952 million, an increase of $473 million year to year, driven by a higher average debt balance and higher interest rates as we issued debt to finance the Red Hat acquisition. Operating (non-GAAP) interest expense increased $393 million compared to the prior-year period. It excludes the Red Hat pre-closing debt financing costs.


Question: What was the average Interest expense? (in million)

Python solution:
def solution():
    # Define variables name and value
    interest_expense_2019 = 1344
    interest_expense_2018 = 723
    
    # Do math calculation to get the answer
    answer = (interest_expense_2019 + interest_expense_2018) / 2
    
    return answer

Answer: 1033.5
|Fiscal 2017 Restructuring Plan|Workforce reduction|Facility costs|Total|
|Balance payable as at June 30, 2017|$10,045|$1,369|$11,414|
|Accruals and adjustments|3,432|3,775|7,207|
|Cash payments|(12,342)|(1,627)|(13,969)|
|Foreign exchange and other non-cash adjustments|455|(86)|369|
|Balance payable as at June 30, 2018|$1,590|$3,431|$5,021|
|Accruals and adjustments|(254)|1,152|898|
|Cash payments|(213)|(1,290)|(1,503)|
|Foreign exchange and other non-cash adjustments|(77)|(344)|(421)|
|Balance payable as at June 30, 2019|$1,046|$2,949|$3,995|
 Fiscal 2017 Restructuring Plan During Fiscal 2017 and in the context of acquisitions made in Fiscal 2017, we began to implement restructuring activities to streamline our operations (collectively referred to as the Fiscal 2017 Restructuring Plan). The Fiscal 2017 Restructuring Plan charges relate to workforce reductions and facility consolidations. These charges require management to make certain judgments and estimates regarding the amount and timing of restructuring charges or recoveries. Our estimated liability could change subsequent to its recognition, requiring adjustments to the expense and the liability recorded. On a quarterly basis, we conduct an evaluation of the related liabilities and expenses and revise our assumptions and estimates as appropriate. Since the inception of the plan, $41.9 million has been recorded within "Special charges (recoveries)". We do not expect to incur any further significant charges relating to this plan. A reconciliation of the beginning and ending liability for the year ended June 30, 2019 and 2018 is shown below.


Question: For Balance payable as at June 30, 2019, what is Workforce reduction expressed as a percentage of Facility costs? (in percent)

Python solution:
def solution():
    # Define variables name and value
    workforce_reduction = 1046
    facility_costs = 2949
    
    # Do math calculation to get the answer
    answer = (workforce_reduction / facility_costs) * 100
    
    return answer

Answer: 35.4696507291
||As of December 31,||
||2018|2019|
|Ship management creditors|268|328|
|Amounts due to related parties|169|200|
 GasLog Ltd. and its Subsidiaries
Notes to the consolidated financial statements (Continued)
For the years ended December 31, 2017, 2018 and 2019
(All amounts expressed in thousands of U.S. Dollars, except share and per share data) Current Liabilities Ship management creditors’ liability is comprised of cash collected from Egypt LNG Shipping Ltd. to cover the obligations of its vessel under the Group’s management Amounts due to related parties of $200 (December 31, 2018: $169) are expenses paid by a related party on behalf of the Group and payables to other related parties for the office lease and other operating expenses.


Question: What was the change in amounts due to related parties from 2018 to 2019? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    amounts_due_2018 = 169
    amounts_due_2019 = 200

    # Do math calculation to get the answer
    answer = amounts_due_2019 - amounts_due_2018
    
    return answer

Answer: 31
item 6 . selected financial data the following table sets forth our selected financial data . the table should be read in conjunction with item 7 and item 8 of this annual report on form 10-k. . 
||Year Ended December 31|
|($ in millions, except per share amounts)|2017|2016|2015|2014|2013|
|Sales and service revenues|$7,441|$7,068|$7,020|$6,957|$6,820|
|Goodwill impairment|—|—|75|47|—|
|Operating income (loss)|865|858|769|655|512|
|Net earnings (loss)|479|573|404|338|261|
|Total assets<sup></sup>|6,374|6,352|6,024|6,239|6,190|
|Long-term debt<sup>(1)</sup>|1,279|1,278|1,273|1,562|1,665|
|Total long-term obligations<sup></sup>|3,225|3,356|3,260|3,562|3,277|
|Net cash provided by (used in) operating activities|814|822|861|755|260|
|Free cash flow<sup>(2)</sup>|453|537|673|590|121|
|Dividends declared per share|$2.52|$2.10|$1.70|$1.00|$0.50|
|Basic earnings (loss) per share|$10.48|$12.24|$8.43|$6.93|$5.25|
|Diluted earnings (loss) per share|$10.46|$12.14|$8.36|$6.86|$5.18|
 ( 1 ) long-term debt does not include the current portion of long-term debt , which is included in current liabilities . ( 2 ) free cash flow is a non-gaap financial measure and represents cash from operating activities less capital expenditures net of related grant proceeds . see liquidity and capital resources in item 7 for more information on this measure. .


Question: what was the return on total assets during 2013? (in percentage)

Python solution:
def solution():
    # Define variables name and value
    net_earnings_2013 = 261
    total_assets_2013 = 6190

    # Do math calculation to get the answer
    answer = (net_earnings_2013 / total_assets_2013) * 100

    return answer

Answer: 4.2164781906
|||Year Ended December 31,||
||2019|2018|2017|
|Gain (loss) on sold loan receivables held for sale|$—|$—|$(500)|
|Cash Flows||||
|Sales of loans|$91,946|$139,026|$72,071|
|Servicing fees|3,901|2,321|2,821|
 GreenSky, Inc. NOTES TO CONSOLIDATED FINANCIAL STATEMENTS — (Continued) (United States Dollars in thousands, except per share data, unless otherwise stated) The following table presents activities associated with our loan receivable sales and servicing activities during the periods indicated.


Question: What was the change in the servicing fee between 2018 and 2019? (in percent)

Python solution:
def solution():
    # Define variables name and value
    servicing_fee_2019 = 3901
    servicing_fee_2018 = 2321

    # Do math calculation to get the answer
    answer = (servicing_fee_2019 - servicing_fee_2018) / servicing_fee_2018 * 100
    
    return answer

Answer: 68.0741059888
entergy texas , inc . and subsidiaries management 2019s financial discussion and analysis plan to spin off the utility 2019s transmission business see the 201cplan to spin off the utility 2019s transmission business 201d section of entergy corporation and subsidiaries management 2019s financial discussion and analysis for a discussion of this matter , including the planned retirement of debt and preferred securities . results of operations net income 2011 compared to 2010 net income increased by $ 14.6 million primarily due to higher net revenue , partially offset by higher taxes other than income taxes , higher other operation and maintenance expenses , and higher depreciation and amortization expenses . 2010 compared to 2009 net income increased by $ 2.4 million primarily due to higher net revenue and lower interest expense , partially offset by lower other income , higher taxes other than income taxes , and higher other operation and maintenance expenses . net revenue 2011 compared to 2010 net revenue consists of operating revenues net of : 1 ) fuel , fuel-related expenses , and gas purchased for resale , 2 ) purchased power expenses , and 3 ) other regulatory charges ( credits ) . following is an analysis of the change in net revenue comparing 2011 to 2010 . amount ( in millions ) . 
||Amount (In Millions)|
|2010 net revenue|$540.2|
|Retail electric price|36.0|
|Volume/weather|21.3|
|Purchased power capacity|(24.6)|
|Other|4.9|
|2011 net revenue|$577.8|
 the retail electric price variance is primarily due to rate actions , including an annual base rate increase of $ 59 million beginning august 2010 , with an additional increase of $ 9 million beginning may 2011 , as a result of the settlement of the december 2009 rate case . see note 2 to the financial statements for further discussion of the rate case settlement . the volume/weather variance is primarily due to an increase of 721 gwh , or 4.5% ( 4.5 % ) , in billed electricity usage , including the effect of more favorable weather on residential and commercial sales compared to last year . usage in the industrial sector increased 8.2% ( 8.2 % ) primarily in the chemicals and refining industries . the purchased power capacity variance is primarily due to price increases for ongoing purchased power capacity and additional capacity purchases. .


Question: what was the average net revenue from 2010 to 2011 (in million)

Python solution:
def solution():
    # Define variables name and value
    net_revenue_2010 = 540.2
    net_revenue_2011 = 577.8
    total_years = 2

    # Do math calculation to get the answer
    total_net_revenue = net_revenue_2010 + net_revenue_2011
    average_net_revenue = total_net_revenue / total_years
    
    return average_net_revenue

Answer: 559
|Net financing costs|||
||2019|2018|
||€m|€m|
|Investment income|433|685|
|Financing costs|(2,088)|(1,074)|
|Net financing costs|(1,655)|(389)|
|Analysed as:|||
|Net financing costs before interest on settlement of tax issues|(1,043)|(749)|
|Interest income arising on settlement of outstanding tax issues|1|11|
||(1,042)|(738)|
|Mark to market (losses)/gains|(423)|27|
|Foreign exchange (losses)/gains1|(190)|322|
|Net financing costs|(1,655)|(389)|
 Note: 1 Primarily comprises foreign exchange differences reflected in the income statement in relation to sterling and US dollar balances. Net financing costs increased by €1.3 billion, primarily driven by mark-to-market losses (including hedges of the mandatory convertible bond) and adverse foreign exchange rate movements. Net financing costs before interest on settlement of tax issues includes increased interest costs as part of the financing for the Liberty Global transaction as well as adverse interest rate movements on borrowings in foreign operations. Excluding these, underlying financing costs remained stable, reflecting consistent average net debt balances and weighted average borrowing costs for both periods.


Question: What is the difference between the average investment income and average financing costs? (in million)

Python solution:
def solution():
    # Define variables name and value
    investment_income_2019 = 433
    investment_income_2018 = 685
    financing_costs_2019 = -2088
    financing_costs_2018 = -1074
    
    # Do math calculation to get the answer
    average_investment_income = (investment_income_2019 + investment_income_2018) / 2
    average_financing_costs = (financing_costs_2019 + financing_costs_2018) / 2
    answer = average_investment_income - average_financing_costs
    
    return answer

Answer: 2140
|30 June 2019|Current|0 to 30 days past due|31 to 60 days past due|More than 60 days past due|Total|
||$'000|$'000|$'000|$'000|$'000|
|Expected loss rate|1%|5%|7.5%|20%|-|
|Gross carrying amount|23,762|2,068|787|1,703|28,320|
|Loss allowance provision|238|103|59|341|741|
|Net receivables|23,524|1,965|728|1,362|27,579|
 15 Financial risk management (continued) (b) Credit risk Credit risk arises from cash and cash equivalents, and trade and other receivables. (ii) Trade and other receivables Customer credit risk is managed subject to the Group’s established policy, procedures and control relating to customer credit risk management. Credit evaluations are performed on all customers. Outstanding customer receivables are monitored regularly. The Group aims to minimise concentration of credit risk by undertaking transactions with a large number of customers. In addition, receivable balances are monitored on an ongoing basis with the intention that the Group’s exposure to bad debts is minimised. Revenues from data centre services of $61.2 million were derived from two customers (2018: $44.4 million from one customer) whose revenue comprised more than 37% (2018: 29%) of total data centre services revenue. The maximum exposure to credit risk at the end of the reporting period is the carrying value of each class of the financial assets mentioned above and each class of receivable disclosed in Note 5. The Group does not require collateral in respect of financial assets. The Group applies the simplified approach to providing for expected credit losses prescribed by AASB 9, which permits the use of the lifetime expected loss provision for all trade receivables. The loss allowance provision as at 30 June 2019 is determined as follows; the expected credit losses below also incorporate forward looking information.


Question: How much was the percentage of current net receivables out of total net receivables? (in percent)

Python solution:
def solution():
    # Define variables name and value
    current_net_receivables = 23524
    total_net_receivables = 27579
    
    # Do math calculation to get the answer
    answer = (current_net_receivables / total_net_receivables) * 100
    
    return answer

Answer: 85.2967837848
|||Fiscal year end||
||June 1, 2019|June 2, 2018|June 3, 2017|
|Statutory federal income tax (benefit)|$14,694|$34,105|$(39,950)|
|State income tax (benefit)|2,164|3,200|(3,193)|
|Domestic manufacturers deduction|—|(2,545)|4,095|
|Enacted rate change|—|(42,973)|—|
|Tax exempt interest income|(197)|(101)|(206)|
|Other, net|(918)|(545)|(613)|
||$15,743|$(8,859)|$(39,867)|
 The differences between income tax expense (benefit) at the Company’s effective income tax rate and income tax
expense at the statutory federal income tax rate were as follows: In December 2017, the President of the United States signed into law the Tax Cuts and Jobs Act of 2017 (the “Act”), which among other matters reduced the United States corporate tax rate from 35% to 21% effective January 1, 2018. In fiscal 2018, the Company recorded a $43 million tax benefit primarily related to the remeasurement of certain deferred tax assets and liabilities. Federal and state income taxes of $36.5 million, $2.1 million, and $3.7 million were paid in fiscal years 2019, 2018, and 2017, respectively. Federal and state income taxes of $418,000, $47.2 million, and $17.6 million were refunded in fiscal years 2019, 2018, and 2017, respectively. The Company may recognize the tax benefit from an uncertain tax position only if it is more likely than not that the tax position will be sustained on examination by the taxing authorities, based on the technical merits of the position. The Company measures the tax benefits recognized based on the largest benefit that has a greater than 50% likelihood of being realized upon ultimate resolution. As of June 1, 2019, there were no uncertain tax positions that resulted in any adjustment to the Company’s provision for income taxes. We are under audit by the IRS for the fiscal years 2013 through 2015. We are subject to income tax in many jurisdictions within the U.S., and certain jurisdictions are under audit by state and local tax authorities. The resolutions of these audits are not expected to be material to our consolidated financial statements. Tax periods for all years beginning with fiscal year 2013 remain open to examination by federal and state taxing jurisdictions to which we are subject.


Question: What was the percentage change in the Domestic manufacturers deduction from 2017 to 2018? (in percent)

Python solution:
def solution():
    # Define variables name and value
    domestic_manufacturers_deduction_2017 = 4095
    domestic_manufacturers_deduction_2018 = -2545
    
    # Do math calculation to get the answer
    answer = (domestic_manufacturers_deduction_2018 / domestic_manufacturers_deduction_2017) - 1
    
    return answer * 100

Answer: -162.148962149
alexion pharmaceuticals , inc . notes to consolidated financial statements 2014 ( continued ) for the years ended december 31 , 2007 and 2006 , five month period ended december 31 , 2005 , and year ended july 31 , 2005 ( amounts in thousands , except share and per share amounts ) aggregate future minimum annual rental payments for the next five years and thereafter under non-cancellable operating leases ( including facilities and equipment ) as of december 31 , 2007 are: . 
|2008|$4,935|
|2009|3,144|
|2010|3,160|
|2011|3,200|
|2012|2,768|
|Thereafter|9,934|
 9 . commitments and contingencies legal proceedings on march 16 , 2007 , pdl biopharma , inc. , or pdl , filed a civil action against alexion in the u.s . district court for the district of delaware . pdl claims willful infringement by alexion of pdl patents due to sales of soliris . pdl seeks unspecified damages , but no less than a reasonable royalty , plus attorney 2019s fees . alexion has denied pdl's claims . in addition , we filed counterclaims seeking declarations of non-infringement and invalidity of certain u.s . patents held by pdl . alexion believes it has good and valid defenses to pdl's claims and intends to vigorously defend the case and pursue its counterclaims . on february 4 , 2008 , sb2 , inc . filed a civil action against alexion in the united states district court for the northern district of california . sb2 , inc . claims willfull infringement by alexion of sb2 , inc . patents due to sales of soliris . sb2 , inc . seeks unspecified monetary damages , equitable relief and attorneys fees . alexion believes it has good and valid defenses to sb2's claims and intends to vigorously defend the case and pursue its counterclaims . the results of such civil actions cannot be predicted with certainty due to their early stages . however , depending on the outcome of these legal matters , the operating results of the company could be materially impacted through adjustments to cost of sales ( see notes 2 , 6 and 15 for additional information related to royalties ) . product supply the large-scale product supply agreement dated december 18 , 2002 , or the lonza agreement , between lonza sales ag , or lonza , and us , relating to the manufacture of soliris , was amended in june 2007 . we amended our supply agreement to provide for additional purchase commitments of soliris of $ 30000 to $ 35000 through 2013 . such commitments may only be cancelled in limited circumstances. .


Question: what is the average future minimum annual rental payment for the next five years? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    year_2009 = 3144
    year_2010 = 3160
    year_2011 = 3200
    year_2012 = 2768
    year_thereafter = 9934
    
    # Do math calculation to get the answer
    total = year_2009 + year_2010 + year_2011 + year_2012 + year_thereafter
    answer = total / 5
    
    return answer

Answer: 4441.2
||March 31,||
||2019|2018|
|Trade accounts receivable|$875.8|$557.8|
|Other|6.8|8.1|
|Total accounts receivable, gross|882.6|565.9|
|Less allowance for doubtful accounts|2.0|2.2|
|Total accounts receivable, net|$880.6|$563.7|
 Note 8. Other Financial Statement Details Accounts Receivable Accounts receivable consists of the following (in millions):


Question: What was the percentage change in the total net accounts receivable between 2018 and 2019? (in percent)

Python solution:
def solution():
    # Define variables name and value
    net_accounts_receivable_2019 = 880.6
    net_accounts_receivable_2018 = 563.7

    # Do math calculation to get the percentage change in total net accounts receivable between 2018 and 2019
    answer = ((net_accounts_receivable_2019 - net_accounts_receivable_2018) / net_accounts_receivable_2018) * 100

    return answer

Answer: 56.2178463722
15 . debt the tables below summarize our outstanding debt at 30 september 2016 and 2015 : total debt . 
|30 September|2016|2015|
|Short-term borrowings|$935.8|$1,494.3|
|Current portion of long-term debt|371.3|435.6|
|Long-term debt|4,918.1|3,949.1|
|Total Debt|$6,225.2|$5,879.0|
|Short-term Borrowings|||
|30 September|2016|2015|
|Bank obligations|$133.1|$234.3|
|Commercial paper|802.7|1,260.0|
|Total Short-term Borrowings|$935.8|$1,494.3|
 the weighted average interest rate of short-term borrowings outstanding at 30 september 2016 and 2015 was 1.1% ( 1.1 % ) and .8% ( .8 % ) , respectively . cash paid for interest , net of amounts capitalized , was $ 121.1 in 2016 , $ 97.5 in 2015 , and $ 132.4 in 2014. .


Question: considering the year 2016 , what is the short-term debt as a percent of total debt? (in percentage)

Python solution:
def solution():
    # Define variables name and value
    short_term_borrowings = 935.8
    current_portion_of_long_term_debt = 371.3
    total_debt = 6225.2

    # Do math calculation to get the answer
    short_term_debt = short_term_borrowings + current_portion_of_long_term_debt
    answer = (short_term_debt / total_debt) * 100
    
    return answer

Answer: 20.9969157617
||Operating Leases|Finance Leases|
|2021|$138|$6|
|2022|135|6|
|2023|120|7|
|2024|94|7|
|2025|70|7|
|Thereafter|577|35|
|Total future minimum lease payments|1,134|68|
|Less: Imputed interest|(279)|(9)|
|Total lease liabilities(1)|$855|$59|
 The following represents VMware’s future minimum lease payments under non-cancellable operating and finance leases as of January 31, 2020 (table in millions): (1) Total lease liabilities as of January 31, 2020 excluded legally binding lease payments for leases signed but not yet commenced of $361 million.


Question: What was the change in finance leases between 2022 and 2023? (in million)

Python solution:
def solution():
    # Define variables name and value
    finance_leases_2022 = 6
    finance_leases_2023 = 7
    
    # Do math calculation to get the answer
    answer = finance_leases_2023 - finance_leases_2022
    
    return answer

Answer: 1
|||Year Ended March 31, ||
||2019|2018|2017|
|||(In thousands)||
|Cost of revenues |$234|$259|$282|
|Research and development|1,310|1,141|980|
|Selling, general and administrative|722|670|615|
|Total|$2,266|$2,070|$1,877|
 Stock-based compensation The Company recognized $2.3 million, $2.1 million and $1.9 million of stock-based compensation expense for the years ended March 31, 2019, 2018 and 2017, respectively, as follows: Stock-based compensation expense in the years ended March 31, 2019, 2018 and 2017 included $211,000, $207,000 and $150,000, respectively, related to the Company’s Employee Stock Purchase Plan.


Question: What was the change in the Selling, general and administrative between 2018 and 2019? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    selling_general_administrative_2019 = 722
    selling_general_administrative_2018 = 670
    
    # Do math calculation to get the answer
    answer = selling_general_administrative_2019 - selling_general_administrative_2018
    
    return answer

Answer: 52