Ayushnangia/finbench-data huggingface dataset:
|Fiscal 2019|First Quarter|Second Quarter|Third Quarter|Fourth Quarter|Total|
|Net sales|$1,212.5|$1,432.5|$1,374.7|$1,329.8|$5,349.5|
|Gross profit|$642.0|$689.3|$779.6|$820.5|$2,931.3|
|Operating income|$132.3|$102.7|$194.7|$284.6|$714.3|
|Net income from continuing operations|$35.7|$96.3|$49.2|$174.7|$355.9|
|Diluted net income per common share|$0.14|$0.38|$0.20|$0.70|$1.42|
 Note 21. Quarterly Results (Unaudited) The following table presents the Company's selected unaudited quarterly operating results for the eight quarters ended March 31, 2019. The Company believes that all adjustments of a normal recurring nature have been made to present fairly the related quarterly results (in millions, except per share amounts). Amounts may not add to the total due to rounding: Refer to Note 11, Income Taxes, for an explanation of the one-time transition tax recognized in the third quarter of fiscal 2018. Refer to Note 4, Special Charges and Other, Net, for an explanation of the special charges included in operating income in fiscal 2019 and fiscal 2018. Refer to Note 12, Debt and Credit Facility, for an explanation of the loss on settlement of debt included in other (loss) income, net of $4.1 million during the second quarter, $0.2 million during the third quarter, and $8.3 million during the fourth quarter of fiscal 2019 and $13.8 million and $2.1 million for the first quarter and third quarter of fiscal 2018, respectively. Refer to Note 5, Investments, for an explanation of the impairment recognized on available-for-sale securities in the fourth quarter of fiscal 2018.


Question: What would be the difference between the total net sales and gross profit if the total gross profit was $4,000 million instead? (in million)

Python solution:
def solution():
    # Define variables name and value
    total_net_sales = 5349.5
    new_gross_profit = 4000
    
    # Do math calculation to get the answer
    answer = total_net_sales - new_gross_profit
    
    return answer

Answer: 1349.5
||Year Ended December 31,|Year Ended December 31,|Year Ended December 31,|% Variation|% Variation|
||2019|2018|2017|2019 vs 2018|2018 vs 2017|
||(In millions)|(In millions)|(In millions)|||
|EMEA|$2,265|$2,478|$2,142|(8.6)%|15.7%|
|Americas|1,351|1,264|1,085|6.8|16.5|
|Asia Pacific|5,940|5,922|5,120|0.3|15.7|
|Total|$9,556|$9,664|$8,347|(1.1)%|15.8%|
 Net revenues by location of shipment are classified by location of customer invoiced or reclassified by shipment destination in line with customer demand. For example, products ordered by U.S.-based companies to be invoiced to Asia Pacific affiliates are classified as Asia Pacific revenues. By location of shipment, in 2019, revenues grew 6.8% in Americas, driven by Power Discrete, remained substantially flat in Asia and decreased 8.6% in EMEA, mainly due to lower sales of Microcontrollers and Power Discrete. In 2018 revenues grew across all regions, led by Asia Pacific and EMEA, mainly due to growth in Imaging and Automotive.


Question: If the net revenues by Americas in 2019 is increased to 1,901 million, what is the revised average for Year Ended December 31? (in million)

Python solution:
def solution():
    # Define variables name and value
    americas_2019 = 1901
    americas_2018 = 1264
    americas_2017 = 1085

    # Do math calculation to get the answer
    answer = (americas_2019 + americas_2018 + americas_2017) / 3
    
    return answer

Answer: 1416.6666666667
||Fiscal year-end||
||2019|2018|
|Current portion of Euro Term Loan(1)|$2,748|$3,092|
|1.3% Term loan due 2024|1,367|1,448|
|1.0% State of Connecticut term loan due 2023|378|374|
|Capital lease obligations|370|158|
|Line of credit borrowings|10,000|—|
|Total current portion of long-term obligations|$14,863|$5,072|
 Short-term borrowings and current portion of long-term obligations consist of the following (in thousands): (1) Net of debt issuance costs of $4.6 million and $4.7 million at September 28, 2019 and September 29, 2018, respectively.


Question: What would the percentage change in Capital lease obligations from 2018 to 2019 be if the amount in 2019 was $358 thousand instead? (in percent)

Python solution:
def solution():
    # Define variables name and value
    capital_lease_obligations_2018 = 158
    capital_lease_obligations_2019_alternative = 358
    
    # Do math calculation to get the answer
    answer = (capital_lease_obligations_2019_alternative - capital_lease_obligations_2018) / capital_lease_obligations_2018 * 100
    
    return answer

Answer: 126.582278481
|||For the Year Ended December 31, 2018||
||As Reported|Without Adoption of ASC 606|Impact of Adoption of ASC 606|
|Revenue|$70,965|$68,845|$(2,120)|
|Cost of goods sold|58,701|57,471|(1,230)|
|Gross profit|12,264|11,374|(890)|
 3. REVENUE FROM CONTRACTS WITH CUSTOMERS Revenues and related costs on construction contracts are recognized as the performance obligations are satisfied over time in accordance with ASC 606, Revenue from Contracts with Customers. Under ASC 606, revenue and associated profit, will be recognized as the customer obtains control of the goods and services promised in the contract (i.e., performance obligations). The cost of uninstalled materials or equipment will generally be excluded from the Company’s recognition of profit, unless specifically produced or manufactured for a project, because such costs are not considered to be a measure of progress. The following tables summarize the impact of the adoption of ASC 606 on the Company’s condensed consolidated statement of operations for the year ended December 31, 2018 and the consolidated balance sheet as of December 31, 2018:


Question: What would be the percentage change in revenue after the adoption of ASC 606 if the as reported revenue is now 80,000? (in percent)

Python solution:
def solution():
    # Define variables name and value
    new_reported_revenue = 80000
    without_ASC_606_revenue = 68845
    
    # Do math calculation to get the answer
    answer = (new_reported_revenue - without_ASC_606_revenue) / without_ASC_606_revenue * 100
    
    return answer

Answer: 16.2030648558
|||Year Ended December 31,||
||2019|2018|2017|
||$|$|$|
|Realized gains (losses) on maturity and/or partial termination of cross currency swap|—|(42,271)|(25,733)|
|Realized losses|(5,062)|(6,533)|(18,494)|
|Unrealized (losses) gains|(13,239)|21,240|82,668|
|Total realized and unrealized (losses) gains on cross currency swaps|(18,301)|(27,564)|38,441|
 Realized and unrealized losses of the cross currency swaps are recognized in earnings and reported in foreign exchange (loss) gain in the consolidated statements of loss. The effect of the gains (losses) on cross currency swaps on the consolidated statements of loss is as follows: The Company is exposed to credit loss to the extent the fair value represents an asset in the event of non-performance by the counterparties to the foreign currency forward contracts, and cross currency and interest rate swap agreements; however, the Company does not anticipate non-performance by any of the counterparties. In order to minimize counterparty risk, the Company only enters into derivative transactions with counterparties that are rated A- or better by Standard & Poor’s or A3 or better by Moody’s at the time of the transaction. In addition, to the extent possible and practical, interest rate swaps are entered into with different counterparties to reduce concentration risk. (all tabular amounts stated in thousands of U.S. dollars, other than share data and unless otherwise indicated)


Question: If Unrealized (losses) gains in 2018 was 100,000 thousands, what would be the percentage change from 2017 to 2018? (in percent)

Python solution:
def solution():
    # Define variables name and value
    unrealized_losses_gains_2017 = 82668
    unrealized_losses_gains_2018 = 100000

    # Do math calculation to get the answer
    answer = (unrealized_losses_gains_2018 / unrealized_losses_gains_2017 - 1) * 100

    return answer

Answer: 20.9657908743
|||December 31,|
||2019|2018|
|Ingredients|$ 1,942|$ 1,580|
|Packaging|2,230|2,072|
|Finished goods|2,220|2,165|
|Total inventories, net|$ 6,392|$ 5,817|
 Note 3 – Inventories, net Inventories consisted of the following:


Question: What would be the average value of packaging for years 2018 and 2019 if the value of packaging in 2019 decreased by 100?

Python solution:
def solution():
    # Define variables name and value
    packaging_2019 = 2230
    packaging_2018 = 2072
    decrease_value = 100
    
    # Do math calculation to get the average value of packaging for years 2018 and 2019
    answer = ((packaging_2019 - decrease_value) + packaging_2018) / 2
    
    return answer

Answer: 2101
||2019|2018|
|Beginning balance as of January 1,|$1,210.0|$1,175.3|
|Additions|61.8|39.6|
|Accretion expense|81.6|83.6|
|Revisions in estimates (1)|56.8|(81.5)|
|Settlements|(26.1)|(7.0)|
|Balance as of December 31,|$1,384.1|$1,210.0|
 AMERICAN TOWER CORPORATION AND SUBSIDIARIES NOTES TO CONSOLIDATED FINANCIAL STATEMENT(Tabular amounts in millions, unless otherwise disclosed) 11. ASSET RETIREMENT OBLIGATIONS The changes in the carrying amount of the Company’s asset retirement obligations were as follows: (1) Revisions in estimates include decreases to the liability of $6.7 million and $49.4 million related to foreign currency translation for the years ended December 31, 2019 and 2018, respectively. As of December 31, 2019, the estimated undiscounted future cash outlay for asset retirement obligations was $3.2 billion.


Question: What is the percentage change in settlements between 2018 and 2019 if settlements in 2019 were -$30.0 million instead? (in percent)

Python solution:
def solution():
    # Define variables name and value
    settlements_2019 = -30.0
    settlements_2018 = -7.0
    
    # Do math calculation to get the answer
    answer = (settlements_2019 - settlements_2018) / settlements_2018 * 100
    
    return answer

Answer: 328.5714285714
|||At December 31, 2019||
||Gross Carrying Amount|Unamortized Discount and Deferred Financing Costs|Net Carrying Amount|
|2021 Notes|$650|$(2)|$648|
|2022 Notes|400|(2)|398|
|2026 Notes|850|(7)|843|
|2027 Notes|400|(5)|395|
|2047 Notes|400|(9)|391|
|Total long-term debt|$2,700|$(25)|$2,675|
|||At December 31, 2018||
||Gross Carrying Amount|Unamortized Discount and Deferred Financing Costs|Net Carrying Amount|
|2021 Notes|650|(3)|647|
|2022 Notes|400|(3)|397|
|2026 Notes|850|(8)|842|
|2027 Notes|400|(5)|395|
|2047 Notes|400|(10)|390|
|Total long-term debt|$2,700|$(29)|$2,671|
 Interest expense and financing costs Fees and discounts associated with the issuance of our debt instruments are recorded as debt discount, which reduces their respective carrying values, and are amortized over their respective terms. Amortization expense is recorded within “Interest and other expense (income), net” in our consolidated statement of operations. For the years ended December 31, 2019, 2018, and 2017: interest expense was $86 million, $134 million, and $150 million, respectively; amortization of the debt discount and deferred financing costs was $4 million, $6 million, and $12 million, respectively. A summary of our outstanding debt is as follows (amounts in millions): With the exception of the 2026 and the 2047 Notes, using Level 2 inputs (i.e., observable market prices in less-than-active markets) at December 31, 2019, the carrying values of the Notes approximated their fair values, as the interest rates were similar to the current rates at which we could borrow funds over the selected interest periods. At December 31, 2019, based on Level 2 inputs, the fair value of the 2026 and the 2047 Notes were $893 million and $456 million, respectively. Using Level 2 inputs at December 31, 2018, the carrying values of the 2021 Notes and the 2022 Notes approximated their fair values, as the interest rates were similar to the current rates at which we could borrow funds over the selected interest periods. At December 31, 2019, based on Level 2 inputs, the fair values of the 2026 Notes, the 2027 Notes, and the 2047 Notes were $800 million, $376 million, and $360 million, respectively.


Question: What was the change in the net carrying amount between the 2026 and 2027 Notes in 2018 if the net carrying amount in the 2026 notes was $900 million instead? (in million)

Python solution:
def solution():
    # Define variables name and value
    net_carrying_amount_2026_notes = 900
    net_carrying_amount_2027_notes = 395

    # Do math calculation to get the answer
    answer = net_carrying_amount_2027_notes - net_carrying_amount_2026_notes

    return answer

Answer: -505
|(In millions)|Food Care|Product Care|Total|
|Gross Carrying Value at December 31, 2017|$ 576.5|$ 1,554.1|$ 2,130.6|
|Accumulated impairment|(49.6 )|(141.2)|(190.8)|
|Carrying Value at December 31, 2017|$ 526.9|$ 1,412.9|$ 1,939.8|
|Acquisition, purchase price and other adjustments|(0.6 )|18.2|17.6|
|Currency translation|(6.6 )|(3.2)|(9.8)|
|Gross Carrying Value at December 31, 2018|$ 568.9|$ 1,568.9|$ 2,137.8|
|Accumulated impairment|(49.2 )|(141.0)|(190.2)|
|Carrying Value at December 31, 2018|$ 519.7|$ 1,427.9|$ 1,947.6|
|Acquisition, purchase price and other adjustments|6.3|257.0|263.3|
|Currency translation|2.0|4.1|6.1|
|Gross Carrying Value at December 31, 2019|$ 577.2|$ 1,830.0|$ 2,407.2|
|Accumulated impairment|(49.3 )|(141.0)|(190.3)|
|Carrying Value at December 31, 2019|$ 527.9|$ 1,689.0|$ 2,216.9|
 Allocation of Goodwill to Reporting Segment The following table shows our goodwill balances by reportable segment: As noted above, it was determined under a quantitative assessment that there was no impairment of goodwill. However, if we become aware of indicators of impairment in future periods, we may be required to perform an interim assessment for some or all of our reporting units before the next annual assessment. Examples of such indicators may include a decrease in expected net earnings, adverse equity market conditions, a decline in current market multiples, a decline in our common stock price, a significant adverse change in legal factors or business climates, an adverse action or assessment by a regulator, unanticipated competition, strategic decisions made in response to economic or competitive conditions, or a more likely than not expectation that a reporting unit or a significant portion of a reporting unit will be sold or disposed of. In the event of significant adverse changes of the nature described above, we may have to recognize a non-cash impairment of goodwill, which could have a material adverse effect on our consolidated financial condition and results of operations.


Question: If the Carrying Value at December 31, 2019 for Food Care was adjusted to $529.4(in millions) instead, What is the average annual growth rate of Carrying value for Food Care for years 2017-2019? (in percent)

Python solution:
def solution():
    # Define variables name and value
    carrying_value_2017 = 526.9
    carrying_value_2018 = 519.7
    adjusted_carrying_value_2019 = 529.4

    # Do math calculation to get the answer
    growth_rate_2018 = (carrying_value_2018 - carrying_value_2017) / carrying_value_2017
    growth_rate_2019 = (adjusted_carrying_value_2019 - carrying_value_2018) / carrying_value_2018
    average_annual_growth_rate = (growth_rate_2018 + growth_rate_2019) / 2

    return average_annual_growth_rate * 100

Answer: 0.2499891082
||2017|2018|
||(In Thousands)|(In Thousands)|
|Audit Fees (1)|$3,747|$4,476|
|Audit-Related Fees (2)|—|—|
|Tax Fees (3)|—|—|
|All Other Fees (4)|$3|$3|
|Total Fees|$3,750|$4,479|
 Fees Paid to the Independent Registered Public Accounting Firm The following table presents fees for professional audit services and other services rendered to our company by KPMG for our fiscal years ended December 31, 2017 and 2018. (1) Audit Fees consist of professional services rendered in connection with the audit of our annual consolidated financial statements, including audited financial statements presented in our Annual Report on Form 10-K for the fiscal years ended December 31, 2017 and 2018 and services that are normally provided by the independent registered public accountants in connection with statutory and regulatory filings or engagements for those fiscal years. (2) Audit-Related Fees consist of fees for professional services for assurance and related
services that are reasonably related to the performance of the audit or review of our consolidated financial statements and are not reported under “Audit Fees.” These services could include accounting consultations concerning financial accounting and reporting standards, due diligence procedures in connection with acquisition and procedures related to other attestation services. (3) Tax Fees consist of fees for professional services for tax compliance, tax advice and tax planning. These services include consultation on tax matters and assistance regarding federal, state and international tax compliance. (4) All Other Fees consist of license fees for the use of accounting research software.


Question: How much would the change of “All Other Fees” from 2017 to 2018 be if the “All Other Fees” in 2017 is $1 thousand? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    all_other_fees_2017 = 3
    new_all_other_fees_2017 = 1
    
    # Do math calculation to get the answer
    answer = all_other_fees_2017 - new_all_other_fees_2017
    
    return answer

Answer: 2
||December 31, 2019|December 31, 2018|
|(in thousands)|||
|Cash and cash equivalents|$92,708|$73,142|
|Short-term restricted cash|349|645|
|Long-term restricted cash|60|404|
|Total cash, cash equivalents and restricted cash|$93,117|$74,191|
 7. Balance Sheet Details Cash, cash equivalents, and restricted cash consist of the following: As of December 31, 2019 and December 31, 2018, cash and cash equivalents included $20.4 million and $0 of money market funds, respectively. As of December 31, 2019 and 2018, the Company has restricted cash of $0.4 million and $1.0 million, respectively. The cash is restricted in connection with guarantees for certain import duties and office leases.


Question: If Short-term restricted cash in 2019 was 845 thousands, what would be the average for 2018 and 2019? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    short_term_restricted_cash_2019 = 845
    short_term_restricted_cash_2018 = 645
    
    # Do math calculation to get the answer
    answer = (short_term_restricted_cash_2019 + short_term_restricted_cash_2018) / 2
    
    return answer

Answer: 745
|(In thousands)|2019|2018|
|Raw materials|$36,987|$45,333|
|Work in process|1,085|1,638|
|Finished goods|60,233|52,877|
|Total Inventory, net|$98,305|$99,848|
 Note 7 – Inventory As of December 31, 2019 and 2018, inventory was comprised of the following: Inventory reserves are established for estimated excess and obsolete inventory equal to the difference between the cost of the inventory and the estimated net realizable value of the inventory based on estimated reserve percentages, which consider historical usage, known trends, inventory age and market conditions. As of December 31, 2019 and 2018, our inventory reserve was $34.1 million and $30.0 million, respectively.


Question: What would be the percentage change in net total inventory between 2018 and 2019 if net total inventory in 2019 was $120,000 thousand instead? (in percent)

Python solution:
def solution():
    # Define variables name and value
    net_total_inventory_2019_modified = 120000
    net_total_inventory_2018 = 99848
    
    # Do math calculation to get the answer
    answer = (net_total_inventory_2019_modified - net_total_inventory_2018) / net_total_inventory_2018 * 100
    
    return answer

Answer: 20.1826776701
||Year ended March 31,||(Unfavorable) favorable||
|(Dollars in thousands)|2018|2017|$|%|
|Income tax (benefit) expense|$ (3,251)|$ 236|$ 3,487|nm|
|Effective tax rate|(28.0)%|(2.1)%|||
 Income Taxes nm - not meaningful For fiscal 2018, the effective tax rate was different than the statutory rate due primarily to the impact of the Tax Act reform. The Company recorded a benefit of approximately $3.3 million resulting from the effect of a reduction in the deferred rate and the ability to offset indefinite lived deferred tax liabilities with certain deferred tax assets, recognition of net operating losses as deferred tax assets, which were offset by increases in the valuation allowance, certain foreign and state tax effects including a benefit of $0.4 million related to a settlement with the California Franchise Tax Board and other U.S. permanent book to tax differences. At March 31, 2018, we had $198.7 million of a federal net operating loss carryforward that expires, if unused, in fiscal years 2031 to 2038. For fiscal 2017, the effective tax rate was different than the statutory rate due primarily to the recognition of net operating losses as deferred tax assets, which were offset by increases in the valuation allowance, state taxes and other U.S. permanent book to tax differences. Although the timing and outcome of tax settlements are uncertain, it is reasonably possible that during the next 12 months a reduction in unrecognized tax benefits may occur in the range of zero to $0.1 million of tax and zero to $0.2 million of interest based on the outcome of tax examinations and as a result of the expiration of various statutes of limitations. We are routinely audited; due to the ongoing nature of current examinations in multiple jurisdictions, other changes could occur in the amount of gross unrecognized tax benefits during the next 12 months which cannot be estimated at this time. Because of our losses in prior periods, we have recorded a valuation allowance offsetting substantially all of our deferred tax assets. The ultimate realization of deferred tax assets generated prior to Tax Act reform depends on the generation of future taxable income during the periods in which those temporary differences are deductible. Because of our losses in prior periods, management believes that it is more-likely-than-not that we will not realize the benefits of these deductible differences.


Question: If effective tax rate in 2017 was -30.0%, what would be the increase / (decrease) in the effective tax rate from 2017 to 2018? (in percent)

Python solution:
def solution():
    # Define variables name and value
    effective_tax_rate_2017 = -30.0
    effective_tax_rate_2018 = -28.0
    
    # Do math calculation to get the answer
    answer = effective_tax_rate_2018 - effective_tax_rate_2017
    
    return answer

Answer: 2