Ayushnangia/finbench-data huggingface dataset:
||||Payment Due by Period|||
|Contractual obligations|Total|Year 1|Years 2 - 3|Years 4 - 5|More than 5 years|
|Debt obligations (1)|$305,927|$28,430|$59,509|$55,708|$162,280|
|Interest obligations (1)|28,200|6,326|11,039|8,928|1,907|
|Operating lease obligations|48,311|10,898|14,302|9,402|13,709|
|Pension and other post-retirement benefits (2)|94,178|6,758|15,184|18,024|54,212|
|Employee separation liability|7,640|594|674|674|5,698|
|Restructuring liability|2,181|1,869|312|—|—|
|Purchase commitments|31,468|31,468|—|—|—|
|Capital lease obligations|2,049|993|888|168|—|
|Anti-trust fines and settlements (3)|34,880|21,712|10,203|2,965|—|
|Total|$554,834|$109,048|$112,111|$95,869|$237,806|
 Commitments At March 31, 2019, we had contractual obligations in the form of non-cancellable operating leases and debt, including interest payments (see Note 3, “Debt” and Note 15, “Commitments and Contingencies” to our consolidated financial statements), European social security, pension benefits, other post-retirement benefits, inventory purchase obligations, fixed asset purchase obligations, acquisition related obligations, and construction obligations as follows (amounts in thousands): (1) Refer to Note 3, “Debt” for additional information. Repayment of the Customer Capacity Agreements assumes the customers purchase products in a quantity sufficient to require the maximum permitted debt repayment amount per quarter. (2) Reflects expected benefit payments through fiscal year 2029. (3) In addition to amounts reflected in the table, an additional $2.9 million has been recorded in the line item "Accrued expenses," for which the timing of payment has not been determined.


Question: What would be the difference between the payments due by Year 1 between Interest obligations and operating lease obligations if interest obligations were $10,000 thousand instead? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    interest_obligations = 10000
    operating_lease_obligations = 10898
    
    # Do math calculation to get the answer
    answer = operating_lease_obligations - interest_obligations
    
    return answer

Answer: 898
|||December 31,||
||Useful Life|2019|2018|
|Computer equipment and software|3 – 5 years|$57,474|$52,055|
|Furniture and fixtures|7 years|6,096|4,367|
|Leasehold improvements|2 – 6 years|22,800|9,987|
|Renovation in progress|n/a|8|1,984|
|Build-to-suit property|25 years|—|51,058|
|Total property and equipment, gross||86,378|119,451|
|Less: accumulated depreciation and amortization||(49,852)|(42,197)|
|Total property and equipment, net||$36,526|$77,254|
 7. OTHER BALANCE SHEET AMOUNTS The components of property and equipment, net is as follows (in thousands): Depreciation expense for the years ended December 31, 2019, 2018, and 2017 was $11.8 million, $10.2 million, and $10.3 million, respectively.


Question: What would the change in furniture and fixtures between 2018 and 2019 be if furniture and fixtures were $5,000 thousand in 2018 instead? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    furniture_fixtures_2019 = 6096
    furniture_fixtures_2018_modified = 5000

    # Do math calculation to get the answer
    answer = furniture_fixtures_2019 - furniture_fixtures_2018_modified

    return answer

Answer: 1096
||July 27, 2019|July 28, 2018|July 29, 2017|
|Property and equipment, net:||||
|United States|$2,266|$2,487|$2,711|
|International|523|519|611|
|Total|$2,789|$3,006|$3,322|
 (c) Additional Segment Information The majority of our assets as of July 27, 2019 and July 28, 2018 were attributable to our U.S. operations. In fiscal 2019, 2018, and 2017, no single customer accounted for 10% or more of revenue. Property and equipment information is based on the physical location of the assets. The following table presents property and equipment information for geographic areas (in millions):


Question: What would be the change in net property and equipment from International regions between 2017 and 2018 if net property and equipment from international regions in 2018 was $700 million instead? (in million)

Python solution:
def solution():
    # Define variables name and value
    international_property_and_equipment_2018 = 700
    international_property_and_equipment_2017 = 611
    
    # Do math calculation to get the answer
    answer = international_property_and_equipment_2018 - international_property_and_equipment_2017
    
    return answer

Answer: 89
||Software Solutions|Data and Analytics|Corporate and Other|Total|
|Balance, December 31, 2017|$2,134.7|$172.1|$—|$2,306.8|
|HeavyWater and Ernst acquisitions (Note 3)|22.9|—|—|22.9|
|Balance, December 31, 2018|2,157.6|172.1|—|2,329.7|
|Compass Analytics acquisition (Note 3)|31.7|—|—|31.7|
|Balance, December 31, 2019|$2,189.3|$172.1|$—|$2,361.4|
 (10) Goodwill Goodwill consists of the following (in millions): The increase in Goodwill related to our Compass Analytics acquisition is deductible for tax purposes. For the 2018 increase in Goodwill, $19.7 million is deductible for tax purposes and $3.2 million is not deductible for tax purposes.


Question: What would be the change in the balance of software solutions between 2017 and 2018 if the balance in 2017 was $2,000 million instead? (in million)

Python solution:
def solution():
    # Define variables name and value
    balance_2017 = 2000
    balance_2018 = 2157.6
    
    # Do math calculation to get the answer
    answer = balance_2018 - balance_2017
    
    return answer

Answer: 157.6
|||Fiscal year||
|(in millions of €, earnings per share in €)|2019|2018|% Change|
|Digital Industries|2,880|2,898|(1) %|
|Smart Infrastructure|1,500|1,574|(5) %|
|Gas and Power|679|722|(6) %|
|Mobility|983|958|3 %|
|Siemens Healthineers|2,461|2,221|11 %|
|Siemens Gamesa Renewable Energy|482|483|0 %|
|Industrial Businesses|8,986|8,857|1 %|
|Adjusted EBITA margin Industrial Businesses|10.9 %|11.1 %||
|Financial Services|632|633|0 %|
|Portfolio Companies|(71)|(305)|77 %|
|Reconciliation to Consolidated Financial Statements|(2,028)|(1,135)|(79) %|
|Income from continuing operations before income taxes|7,518|8,050|(7) %|
|Income tax expenses|(1,872)|(2,054)|9 %|
|Income from continuing operations|5,646|5,996|(6) %|
|Income from discontinued operations, net of income taxes|3|124|(98) %|
|Net income|5,648|6,120|(8) %|
|Basic earnings per share|6.41|7.12|(10) %|
|ROCE|11.1 %|12.6 %||
 A.4.2 Income As a result of the development described for the segments, Income from continuing operations before income taxes declined 7 %. Severance charges for continuing operations were € 619 million, of which € 492 million were in Industrial Businesses. Accordingly, Adjusted EBITA margin Industrial Businesses excluding severance charges was 11.5 % in fiscal 2019. In fiscal 2018, severance charges for continuing operations were € 923 million, of which € 669 million were in Industrial Businesses. The tax rate of 25% for fiscal 2019 was below the tax rate of 26% for the prior year, benefiting mainly from the reversal of income tax provisions outside Germany. As a result, Income from continuing operations declined 6%. Income from discontinued operations, net of income taxes in the prior year included positive effects from the release of a provision related to former Communications activities. The decline in basic earnings per share reflects the decrease of Net income attributable to Shareholders of Siemens AG, which was € 5,174 million in fiscal 2019 compared to € 5,807 million in fiscal 2018, partially offset by a lower number of weighted average shares outstanding. Basic earnings per share excluding severance charges was € 6.93. As expected, ROCE at 11.1 % was below the target range set in our Siemens Financial Framework, reflecting in particular the effects from portfolio transactions in recent years, including the acquisitions of Mentor and Mendix at Digital Industries and the merger of Siemens’ wind power business with Gamesa Corporación Tecnológica, S. A. that created SGRE. The decline year-over-year was due both to lower income before interest after tax and to higher average capital employed.


Question: If the Gas and Power increased by 10% in 2019, what is the revised increase / (decrease)? (in million)

Python solution:
def solution():
    # Define variables name and value
    gas_and_power_2019 = 679
    gas_and_power_2018 = 722
    increase_percentage = 0.1

    # Do math calculation to get the answer
    revised_gas_and_power_2019 = gas_and_power_2019 * (1 + increase_percentage)
    answer = revised_gas_and_power_2019 - gas_and_power_2018

    return answer

Answer: 24.9
||For the year ended December 31,|||
|(in thousands, except percentages and per share data)|2019|2018|2017|
|Non-GAAP gross profit|$168,242|$163,376|$153,849|
|Non-GAAP gross margin|82.0%|84.6%|85.6%|
|Non-GAAP operating loss|$(8,689)|$(4,325)|$(16,440)|
|Non-GAAP operating margin|(4.2)%|(2.2)%|(9.1)%|
|Non-GAAP net loss|$(9,460)|$(4,548)|$(16,594)|
|Non-GAAP net loss per share|$(0.09)|$(0.04)|$(0.18)|
|Free cash flow|$(3,924)|$12,201|$(3,418)|
 Free cash flow Our non-GAAP financial measures also include free cash flow, which we define as cash provided by (used in) operating activities less the amount of property and equipment purchased. Management believes that information regarding free cash flow provides investors with an important perspective on the cash available to invest in our business and fund ongoing operations.

However, our calculation of free cash flow may not be comparable to similar measures used by other companies. We believe these non-GAAP financial measures are helpful in understanding our past financial performance and our future results. Our non-GAAP financial measures are not meant to be considered in isolation or as a substitute for comparable GAAP measures and should be read only in conjunction with our consolidated financial statements prepared in accordance with GAAP.

Our management regularly uses our supplemental non-GAAP financial measures internally to understand, manage and evaluate our business, and make operating decisions. These non-GAAP measures are among the primary factors management uses in planning for and forecasting future periods. Compensation of our executives is based in part on the performance of our business based on certain of these non-GAAP measures. We monitor the following non-GAAP financial measures:


Question: What would be the average non-GAAP gross profit for the 3 year period from 2017 to 2019, if the non-GAAP gross profit in 2019 was 165,000 thousand instead? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    gross_profit_2019 = 165000
    gross_profit_2018 = 163376
    gross_profit_2017 = 153849

    # Do math calculation to get the answer
    answer = (gross_profit_2019 + gross_profit_2018 + gross_profit_2017) / 3

    return answer

Answer: 160741.6666666667
|||For the year ended December 31,||
||2017|2018|2019|
|Crew wages and vessel management employee costs|72,652|79,624|80,713|
|Technical maintenance expenses|28,736|28,694|37,653|
|Other vessel operating expenses|21,098|19,766|21,296|
|Total|122,486|128,084|139,662|
 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) 15. Vessel Operating and Supervision Costs An analysis of vessel operating and supervision costs is as follows:


Question: What would be the percentage change in total vessel operating and supervision costs from 2018 to 2019 if the total cost in 2019 was 135,273 thousand? (in percent)

Python solution:
def solution():
    # Define variables name and value
    total_cost_2018 = 128084
    total_cost_2019 = 135273
    
    # Do math calculation to get the answer
    percentage_change = (total_cost_2019 - total_cost_2018) / total_cost_2018 * 100
    
    return percentage_change

Answer: 5.6127229006
||Balance at|ASC 606|Balance at|
||February 28, 2018|Adjustments|March 1, 2018|
||Assets|||
|Prepaid expenses and other current assets (1)|$12,000|1,891|$13,891|
|Deferred income tax assets|31,581|532|32,113|
|Other assets (1)|18,829|3,145|21,974|
|||||
||Liabilities and Stockholders' Equity|||
|Deferred revenue|$17,757|2,156|19,913|
|Other non-current liabilities|24,249|5,007|29,256|
|||||
||Stockholders' equity|||
 As a result of the adoption of ASC 606, our deferred product revenues and deferred product costs for the fleet management and auto vehicle finance verticals increased as balances are now amortized over the estimated average in-service lives of these devices. Deferred income tax assets and accumulated deficit increased as a result of the changes made to our deferred product revenues and deferred product costs. The cumulative effect of the changes made to our consolidated balance sheet for the adoption of ASC 606 were as follows (in thousands): (1) Deferred product costs included in Prepaid expenses and other current assets and Other assets amounted to $5.4 million and $6.0 million, respectively, as of March 1, 2018.


Question: What were the balance of total assets at February 28, 2018 if other assets were now $20,000 thousand instead? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    prepaid_expenses_and_other_current_assets = 12000
    deferred_income_tax_assets = 31581
    other_assets = 20000
    
    # Do math calculation to get the answer
    answer = prepaid_expenses_and_other_current_assets + deferred_income_tax_assets + other_assets
    
    return answer

Answer: 63581
||Capped Call|Embedded exchange feature of Notes|Non-marketable investments|
|||(U.S. $ in thousands)||
|Balance as of June 30, 2017|$—|$—|$—|
|Purchases|87,700|(177,907)|—|
|Gains (losses)||||
|Recognized in other non-operating (expense) income, net|12,232|(24,646)||
|Balance as of June 30, 2018|99,932|(202,553)|—|
|Change in unrealized gains (losses) relating to assets and liabilities held as of June 30, 2018||||
|Recognized in other non-operating income (expense), net|12,232|(24,646)|—|
|Balance as of June 30, 2018|$99,932|$(202,553)|$—|
|Purchases|—|—|23,000|
|Transfer out|—|—|(20,942)|
|Gains (losses)||||
|Recognized in finance income|—|—|270|
|Recognized in other non-operating (expense) income, net|114,665|(648,573)|—|
|Recognized in other comprehensive income|—|—|672|
|Balance as of June 30, 2019|$214,597|$(851,126)|$3,000|
|Change in unrealized gains (losses) relating to assets and liabilities held as of June 30, 2019||||
|Recognized in other non-operating income (expense), net|114,665|(648,573)|—|
 Non-marketable investments Non-marketable equity securities are measured at fair value using market data, such as publicly available financing round valuations. Financial information of private companies may not be available and consequently we will estimate the fair value based on the best available information at the measurement date. The following table presents the reconciliations of Level 3 financial instrument fair values: There were transfers out from Level 3 due to initial public offerings of the respective investees during fiscal year 2019. There were no transfers between levels during fiscal year 2018.


Question: What would be the percentage change in the balance of capped call between fiscal year ended June 30, 2018 and 2019 if the value in fiscal year 2018 was $150,000 thousand instead? (in percent)

Python solution:
def solution():
    # Define variables name and value
    balance_2018 = 150000
    balance_2019 = 214597
    
    # Do math calculation to get the answer
    answer = (balance_2019 - balance_2018) / balance_2018 * 100
    
    return answer

Answer: 43.0646666667
||2019 Goodwill|2018 Goodwill|
||£m|£m|
|Steam Specialties|113.0|119.3|
|Electric Thermal Solutions|244.7|183.0|
|Watson-Marlow|60.0|65.7|
|Total goodwill|417.7|368.0|
 15 Goodwill and other intangible assets continued Impairment In accordance with the requirements of IAS 36 (Impairment of Assets), goodwill is allocated to the Group’s cash-generating units, or groups of cash-generating units, that are expected to benefit from the synergies of the business combination that gave rise to the goodwill. During 2019, we performed a review on the basis of identification of our individual CGUs. As a result of this review, we have consolidated a number of our current individual CGUs into groups of CGUs that represent the lowest level to which goodwill is monitored for internal management purposes, being each operating segment as disclosed in Note 3. As a result, we performed an impairment review at an operating segment CGU level, the breakdown of the goodwill value at 31st December across these is shown below: In order to complete the transition to performing goodwill impairment reviews at an operating segment level, we also performed a goodwill impairment review as at 31st December 2019 under the historical CGU basis. The result of this impairment review led to an impairment of £4.2m being recognised in respect of Watson-Marlow FlowSmart. No other impairment was recognised. The goodwill balance has been tested for annual impairment on the following basis: • the carrying values of goodwill have been assessed by reference to value in use. These have been estimated using cash flows based on forecast information for the next financial year which have been approved by the Board and then extended up to a further 9 years based on the most recent forecasts prepared by management; • pre-tax discount rates range from 11-12% (2018: 10-15%); • short to medium-term growth rates vary between 3-8% depending on detailed forecasts (2018: 2-8%). The range in rates excludes the annualised impact of owning Thermocoax for a first full year in 2020. The short to medium-term is defined as not more than 10 years; and • long-term growth rates are set using IMF forecasts and vary between 1.8-2.5% (2018: 0.8-3.0%).


Question: What would the change in total goodwill in 2019 from 2018 be if the amount in 2019 was 420.0 million instead? (in million)

Python solution:
def solution():
    # Define variables name and value
    goodwill_2019 = 420.0
    goodwill_2018 = 368.0

    # Do math calculation to get the answer
    answer = goodwill_2019 - goodwill_2018
    
    return answer

Answer: 52
|||Fiscal Year Ended August 31,||
||2019|2018|2017|
|Restricted stock units|$53,766|$84,082|$42,122|
|Employee stock purchase plan (1)|7,580|6,891|6,334|
|Other|—|7,538|88|
|Total|$61,346|$98,511|$48,544|
 11. Stockholders’ Equity The Company recognized stock-based compensation expense within selling, general and administrative expense as follows (in thousands): (1) For the fiscal year ended August 31, 2018, represents a one-time cash-settled stock award that vested on November 30, 2017.


Question: What would be the change in Other stock-based compensation expenses between 2017 and 2018 if Other stock-based compensation expenses in 2017 was $7,000 thousand instead? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    other_2018 = 7538
    other_2017 = 7000
    
    # Do math calculation to get the answer
    answer = other_2018 - other_2017
    
    return answer

Answer: 538
||Final|Preliminary|
||August 31, 2019|November 30, 2018|
|(In thousands of Canadian dollars)|$|$|
|Purchase price|||
|Consideration paid at closing|38,876|38,876|
|Balance due on business combinations|5,005|5,005|
||43,881|43,881|
|Net assets acquired|||
|Trade and other receivables|1,308|1,743|
|Prepaid expenses and other|335|335|
|Property, plant and equipment|28,785|45,769|
|Intangible assets|3,978|—|
|Goodwill|11,093|—|
|Trade and other payables assumed|(644)|(644)|
|Contract liabilities and other liabilities assumed|(974)|(3,322)|
||43,881|43,881|
 BUSINESS COMBINATION IN FISCAL 2019 Purchase of a fibre network and corresponding assets On October 3, 2018, the Corporation's subsidiary, Atlantic Broadband, completed the acquisition of the south Florida fibre network previously owned by FiberLight, LLC. The transaction, combined with the dark fibers acquired from FiberLight in the second quarter of fiscal 2018, added 350 route miles to Atlantic Broadband’s existing south Florida footprint. The acquisition was accounted for using the purchase method and was subject to post closing adjustments. The final allocation of the purchase price of this acquisition is as follows:


Question: If the Contract liabilities and other liabilities assumed in 2019 is (2,051) thousand what is the revised increase / (decrease)? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    contract_liabilities_assumed_2019 = -2051
    contract_liabilities_assumed_2018 = -3322
    
    # Do math calculation to get the answer
    answer = contract_liabilities_assumed_2019 - contract_liabilities_assumed_2018
    
    return answer

Answer: 1271
||Year Ended December 31,||
|(In thousands)|2019|2018|
|Accounts receivable, net|$120,016|$133,136|
|Contract assets|18,804|12,128|
|Contract liabilities|50,974|52,966|
 Contract Assets and Liabilities The following table provides information about receivables, contract assets and contract liabilities from our revenue contracts with customers: Contract assets include costs that are incremental to the acquisition of a contract. Incremental costs are those that result directly from obtaining a contract or costs that would not have been incurred if the contract had not been obtained, which primarily relate to sales commissions. These costs are deferred and amortized over the expected customer life. We determined that the expected customer life is the expected period of benefit as the commission on the renewal contract is not commensurate with the commission on the initial contract. During the years ended December 31, 2019 and 2018, the Company recognized expense of $6.3 million and $2.9 million, respectively, related to deferred contract acquisition costs. Contract liabilities include deferred revenues related to advanced payments for services and nonrefundable, upfront service activation and set-up fees, which under the new standard are generally deferred and amortized over the expected customer life as the option to renew without paying an upfront fee provides the customer with a material right. During the years ended December 31, 2019 and 2018, the Company deferred and recognized revenues of $397.5 million and $354.2 million, respectively. A receivable is recognized in the period the Company provides goods or services when the Company’s right to consideration is unconditional. Payment terms on invoiced amounts are generally 30 to 60 days.


Question: If accounts receivable, net in 2019 was 140,000 thousands, what would be the accounts receivable, net increase / (decrease) from 2018 to 2019? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    accounts_receivable_2019 = 140000
    accounts_receivable_2018 = 133136
    
    # Do math calculation to get the answer
    answer = accounts_receivable_2019 - accounts_receivable_2018
    
    return answer

Answer: 6864