Ayushnangia/finbench-data huggingface dataset:
||Year Ended|||
||December 27, 2019|December 28, 2018|December 29, 2017|
|Weighted average expected term|0.5 years|0.5 years|0.4 years|
|Risk-free interest rate|2.3%|1.9%|1.1%|
|Dividend yield|0.0%|0.0%|0.0%|
|Volatility|56.0%|52.7%|47.8%|
 2017 ESPP In May 2017, we adopted the 2017 Employee Stock Purchase Plan (the “2017 ESPP”). The 2017 ESPP grants employees the ability to designate a portion of their base-pay to purchase ordinary shares at a price equal to 85% of the fair market value of our ordinary shares on the first or last day of each 6 month purchase period. Purchase periods begin on January 1 or July 1 and end on June 30 or December 31, or the next business day if such date is not a business day. Shares are purchased on the last day of the purchase period. The table below sets forth the weighted average assumptions used to measure the fair value of 2017 ESPP rights: We recognize share-based compensation expense associated with the 2017 ESPP over the duration of the purchase period. We recognized$0.3 million, $0.3 million, and $0.1 million of share-based compensation expense associated with the 2017 ESPP during 2019, 2018, and 2017, respectively. At December 27, 2019, there was no unrecognized share-based compensation expense.


Question: What was the average risk-free interest rate for the 3 year period from 2017 to 2019, if the risk-free interest rate for 2017 was 1.5% instead? (in percent)

Python solution:
def solution():
    # Define variables name and value
    rf_rate_2019 = 2.3
    rf_rate_2018 = 1.9
    rf_rate_2017 = 1.5
    start_year = 2017
    end_year = 2019

    # Do math calculation to get the answer
    answer = (rf_rate_2019 + rf_rate_2018 + rf_rate_2017) / (end_year - start_year + 1)

    return answer

Answer: 1.9
|December 31|||
||2019|2018|
|Net operating loss carryforwards|$7,672|$4,541|
|Stock options and warrants|420|214|
|Property|138|299|
|Intangible assets|66|94|
|Capitalized expenses|54|86|
|Other|210|164|
|Operating right-of-use lease assets|(667)||
|Operating right-of-use lease liabilities|794||
|Net deferred tax assets|8,687|5,398|
|Less: Valuation allowance|(8,687)|(5,398)|
|Deferred tax asset (liability)|$             -|$             -|
 NOTE 13. INCOME TAXES We calculate our provision for federal and state income taxes based on current tax law. U.S. federal tax reform (Tax Act) was enacted on December 22, 2017, and has several key provisions impacting the accounting for and reporting of income taxes. The most significant provision reduced the U.S. corporate statutory tax rate from 35% to 21% beginning on January 1, 2018. We remeasured the applicable deferred tax assets and liabilities based on the rates at which they are expected to reverse. As a result, the gross deferred tax assets and liabilities were adjusted which resulted in an expense for income taxes of $7.1 million which was fully offset by a corresponding change to our valuation allowance in 2017. The Tax Act contains several base broadening provisions that became effective on January 1, 2018, that did not have a material impact on 2018 and 2019 earnings. Deferred tax asset (liability) is comprised of the following (in thousands): We have determined it is more likely than not that our deferred tax assets will not be realized. Accordingly, we have provided a valuation allowance for deferred tax assets.


Question: What would be the percentage change in the stock options and warrants between 2018 and 2019 if the amount in 2019 is increased by 10%? (in percent)

Python solution:
def solution():
    # Define variables name and value
    stock_options_warrants_2019 = 420
    stock_options_warrants_2018 = 214
    increase_percentage = 0.1

    # Do math calculation to get the answer
    stock_options_warrants_2019_new = stock_options_warrants_2019 * (1 + increase_percentage)
    change = stock_options_warrants_2019_new - stock_options_warrants_2018
    percentage_change = (change / stock_options_warrants_2018) * 100

    return percentage_change

Answer: 115.8878504673
||2019|2018|
||$|$|
|Short-term employee benefits|12,175,184|14,217,931|
|Post employment benefits|322,733|297,319|
|Other long-term benefits|161,569|139,776|
|Share-based payments|9,177,425|6,594,300|
||21,836,911|21,249,326|
 This section highlights the Group’s transactions with its related parties, such as its subsidiaries and Key Management Personnel. During the reporting period and previous reporting periods, Woolworths Group Limited advanced loans to, received and repaid loans from, and provided treasury, accounting, legal, taxation, and administrative services to other entities within the Group. Entities within the Group also exchanged goods and services in sale and purchase transactions. All transactions occurred on the basis of normal commercial terms and conditions. Balances and transactions between the Company and its subsidiaries, which are related parties of the Company, have been eliminated on consolidation and are not disclosed in this note. All transactions with directors and Key Management Personnel (including their related parties) were conducted on an arm’s length basis in the ordinary course of business and under normal terms and conditions for customers and employees. Related parties of Key Management Personnel who are employees received normal employee benefits on standard terms and conditions. The total remuneration for Key Management Personnel of the Group is as follows: Details of equity instruments provided as compensation to Key Management Personnel and shares issued on exercise of these instruments, together with the terms and conditions of the instruments, are disclosed in the Remuneration Report.


Question: What is the difference in the total remuneration for Key Management Personnel of the Group between 2018 and 2019 if the total remuneration in 2019 is 22,000,000?

Python solution:
def solution():
    # Define variables name and value
    remuneration_2019 = 22000000
    remuneration_2018 = 21249326

    # Do math calculation to get the answer
    answer = remuneration_2019 - remuneration_2018

    return answer

Answer: 750674
||December 31,||
||2018|2019|
|Financial assets:|||
|Cash and cash equivalents|285,907|497,874|
|Accounts receivable|173,450|199,535|
|Financial liabilities:|||
|Accounts payable|80,640|119,712|
 NOTE 17. FINANCIAL INSTRUMENTS AND FINANCIAL RISK MANAGEMENT FINANCIAL INSTRUMENTS Financial instruments include: The carrying amounts of cash and cash equivalents, accounts receivable and accounts payable equal their fair values because of the short-term nature of these instruments.


Question: What would be the change in accounts payable from 2018 to 2019 if accounts payable in 2019 was 130,000?

Python solution:
def solution():
    # Define variables name and value
    accounts_payable_2018 = 80640
    accounts_payable_2019 = 130000
    
    # Do math calculation to get the answer
    answer = accounts_payable_2019 - accounts_payable_2018
    
    return answer

Answer: 49360
||APAC|||
|Sales Mix|2019|2018|%Change|
|Hardware|$34,965|$29,496|19%|
|Software|92,988|107,363|(13%)|
|Services|52,288|50,055|4%|
||$180,241|$186,914|(4%)|
 Our net sales by offering category for APAC for 2019 and 2018, were as follows (dollars in thousands): Net sales in APAC decreased 4% (increased 2% excluding the effects of fluctuating foreign currency rates), or $6.7 million, in 2019 compared to 2018. In APAC, increases in hardware and services net sales year over year were offset by a decrease in software net sales during 2019 compared to 2018. The changes were the result of the following: • Continued expansion of hardware offerings in the APAC market resulted in higher net sales in this category. • Continued trend toward higher sales of cloud solution offerings that are recorded on a net sales recognition basis in the services net sales category resulted in declines in the software net sales category. • Higher volume of net sales of cloud solution offerings and software referral fees that are recorded on a net sales recognition basis positively impacted services net sales. Additionally, there were contributions from Insight delivered services from increased net sales of our digital innovation solutions offering.


Question: If the Sales Mix of Software in 2019 increased to 157,699 thousand, what would be the revised change between 2018 and 2019? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    software_sales_2019 = 157699
    software_sales_2018 = 107363
    
    # Do math calculation to get the answer
    answer = software_sales_2019 - software_sales_2018
    
    return answer

Answer: 50336
|||For the year ended December 31,||
||2017|2018|2019|
|Basic earnings/(loss) per share||||
|Profit/(loss) for the year attributable to owners of the Group|15,506|47,683|(100,661)|
|Less: Dividends on Preference Shares|(10,064)|(10,063)|(10,063)|
|Profit/(loss) for the year available to owners of the Group|5,442|37,620|(110,724)|
|Weighted average number of shares outstanding, basic|80,622,788|80,792,837|80,849,818|
|Basic earnings/(loss) per share|0.07|0.47|(1.37)|
|Diluted earnings/(loss) per share||||
|Profit/(loss) for the year available to owners of the Group used in the calculation of diluted EPS|5,442|37,620|(110,724)|
|Weighted average number of shares outstanding, basic|80,622,788|80,792,837|80,849,818|
|Dilutive potential ordinary shares|643,342|844,185|—|
|Weighted average number of shares used in the calculation of diluted EPS|81,266,130|81,637,022|80,849,818|
|Diluted earnings/(loss) per share|0.07|0.46|(1.37)|
 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) 29. Earnings/(losses) per share (‘‘EPS’’) Basic earnings/(losses) per share was calculated by dividing the profit/(loss) for the year attributable to the owners of the common shares after deducting the dividend on Preference Shares by the weighted average number of common shares issued and outstanding during the year. Diluted EPS is calculated by dividing the profit/(loss) for the year attributable to the owners of the Group adjusted for the effects of all dilutive potential ordinary shares by the weighted average number of all potential ordinary shares assumed to have been converted into common shares, unless such potential ordinary shares have an antidilutive effect. The following reflects the earnings/(losses) and share data used in the basic and diluted earnings/ (losses) per share computations: The Group excluded the effect of 2,630,173 SARs and 367,162 RSUs in calculating diluted EPS for the year ended December 31, 2019, as they were anti-dilutive (December 31, 2018: 555,453 SARs and 0 RSUs, December 31, 2017: 998,502 SARs and 0 RSUs).


Question: What would be the change in basic EPS from 2018 to 2019 if the amount was 0.59 in 2019?

Python solution:
def solution():
    # Define variables name and value
    basic_EPS_2018 = 0.47
    basic_EPS_2019 = 0.59
    
    # Do math calculation to get the answer
    answer = basic_EPS_2019 - basic_EPS_2018
    
    return answer

Answer: 0.12
|2019|High|Low|
|Fourth quarter|$21.17|$13.92|
|Third quarter|$17.02|$13.88|
|Second quarter|$16.72|$14.72|
|First quarter|$15.55|$11.78|
|2018|High|Low|
|Fourth quarter|$13.00|$10.77|
|Third quarter|$12.98|$11.30|
|Second quarter|$12.14|$9.80|
|First quarter|$10.30|$9.08|
 Item 5. Market for Registrant's Common Equity, Related Shareholder Matters and Issuer Purchases of Equity Securities. Our common shares, without par value, are traded on the NASDAQ Stock Market LLC under the symbol “AGYS”. The high and low sales prices for the common shares for each quarter during the past two fiscal years are presented in the table below. The closing price of the common shares on May 21, 2019, was $22.51 per share. There were 1,561 active shareholders of record. We did not pay dividends in fiscal 2019 or 2018 and are unlikely to do so in the foreseeable future. The current policy of the Board of Directors is to retain any available earnings for use in the operations of our business.


Question: If 2019 second quarter high was 15.22, what would be the increase / (decrease) in the 2019 second quarter between low and high?

Python solution:
def solution():
    # Define variables name and value
    second_quarter_high = 15.22
    second_quarter_low = 14.72
    
    # Do math calculation to get the answer
    answer = second_quarter_high - second_quarter_low
    
    return answer

Answer: 0.5
||Fiscal years ended||||
||February 28,||||
|(In thousands)|2019|2018|$ Change|% Change|
||Segment||||
|Telematics Systems|$40,821|$48,943|$(8,122)|(17.0%)|
|Software & Subscription Services|13,093|8,233|4,860|59.0%|
|Corporate Expense|(5,699)|(4,794)|(905)|19.0%|
|Total Adjusted EBITDA|$48,215|$52,382|$(4,167)|(8.0%)|
 Profitability Measures Net Income: Our net income in the fiscal year ended February 28, 2019 was $18.4 million as compared to net income of $16.6 million in the same period last year. The increase is due to a $11.7 million increase in operating income, $3.0 million increase in investment income and $12.0 million decrease in income tax provision. The increase in operating income was primarily attributable to $21.0 million decrease in general and administrative expense due to reduced legal provision and related costs as further discussed in Note 19 and partially offset by $8.0 million of restructuring expense. Adjusted EBITDA for Telematics Systems in the fiscal year ended February 28, 2019 decreased $8.1 million compared to the same period last year due to lower revenues as described above and the impact of high margin revenue earned on a strategic technology partnership arrangement in fiscal 2018. These factors were coupled with higher operating expenses in Telematics Systems as a result of increased headcount and outsourced professional service fees. Adjusted EBITDA for Software and Subscription Services increased $4.9 million compared to the same period last year due primarily to continued growth in revenues and gross profit from our Italia market and higher gross profit from our fleet management services. See Note 20 for reconciliation of Adjusted EBITDA by reportable segments and a reconciliation to GAAP-basis net income (loss).


Question: What is the total Adjusted EBITDA for Telematics Systems and Software & Subscription Services in 2019 if adjusted EBITDA for Telematics Systems was $30,000 thousand? (in thousand)

Python solution:
def solution():
    # Define variables name and value
    telematics_systems_adjusted_EBITDA = 30000
    software_subscription_services_adjusted_EBITDA = 13093
    
    # Do math calculation to get the answer
    answer = telematics_systems_adjusted_EBITDA + software_subscription_services_adjusted_EBITDA
    
    return answer

Answer: 43093
|USDm|2019|2018|
|Partners and commercial managements|1.9|-|
|Derivative financial instruments|0.5|3.7|
|Tax receivables|1.5|1.2|
|Other|2.3|2.6|
|Balance as of 31 December|6.2|7.5|
 NOTE 11 – OTHER RECEIVABLES No significant other receivables are past due or credit impaired. The carrying amount is a reasonable approximation of fair value due to the short-term nature of the receivables. Please refer to note 21 for further information on fair value hierarchies.


Question: What would the percentage change in the Balance as of 31 December from 2018 to 2019 be if the amount in 2019 was $6.0 million instead? (in percent)

Python solution:
def solution():
    # Define variables name and value
    balance_2018 = 7.5
    new_balance_2019 = 6.0

    # Do math calculation to get the answer
    answer = ((new_balance_2019 - balance_2018) / balance_2018) * 100
    
    return answer

Answer: -20
|Most recent three-year average seasonality|||||
||First quarter|Second quarter|Third quarter|Fourth quarter|
|Sequential change, sales|-25%|11%|4%|17%|
|Share of annual sales|22%|24%|25%|29%|
 Seasonality The Company’s sales, income and cash flow from operations vary between quarters, and are generally lowest in the first quarter of the from operations vary between quarters, and are generally lowest in the first quarter of the year and highest in the fourth quarter. This is mainly a result of the seasonal purchase patterns of network operators.


Question: What would be the total share of annual sales for the second half of the year if the fourth quarter goes up by 2%? (in percent)

Python solution:
def solution():
    # Define variables name and value
    third_quarter_share = 25
    fourth_quarter_share = 29
    increase_in_fourth_quarter = 2

    # Do math calculation to get the answer
    answer = third_quarter_share + fourth_quarter_share + increase_in_fourth_quarter

    return answer

Answer: 56
||December 31,|December 31,|
||2019|2018|
|Accrued payroll and related taxes|$3,985|$3,800|
|Accrued federal, state, and local taxes|2,635|1,827|
|Accrued bonus|20,206|10,766|
|Self-insurance reserves|2,238|—|
|Employee stock purchase plan contributions|4,716|6,473|
|Accrued sales commissions|5,397|6,889|
|Accrued partner commissions|7,043|5,535|
|Contract liabilities|5,197|—|
|Accrued purchase price related to acquisitions|2,763|—|
|Other|7,924|6,811|
|Total|$62,104|$42,101|
 Accrued expenses consisted of the following (in thousands): Contract liabilities represent amounts that are collected in advance of the satisfaction of performance obligations under the new revenue recognition standard. See Recently Adopted Accounting Standards in Note 2 and Contract Liabilities in Note 6.


Question: What would be the value of the 2018 accrued bonus as a percentage of the 2018 total accrued expenses if the total was increased by 10,000 thousand? (in percent)

Python solution:
def solution():
    # Define variables name and value
    accrued_bonus_2018 = 10766
    total_accrued_expenses_2018 = 42101
    additional_expenses = 10000
    
    # Do math calculation to get the answer
    answer = (accrued_bonus_2018 / (total_accrued_expenses_2018 + additional_expenses)) * 100
    
    return answer

Answer: 20.6637108693
|Year Ended December 31|||
||2019|2018|
|NUMERATOR: Basic and diluted - loss from continuing operations (in thousands)|$ (13,735)|$ (8,101)|
|DENOMINATOR: Basic and diluted - weighted average number of common shares outstanding (in thousands)|32,359,316|22,099,149|
|Number of shares of common stock which could be purchased with weighted average outstanding securities not included in diluted EPS because effect would be antidilutive:|||
|Stock options|1,024,811|911,264|
|Warrants|8,443,547|16,383,944|
|Convertible preferred stock|224,848|581,680|
|Restricted stock units|1,235,287|623,603|
|Weighted average number of nonvested shares of common stock not included in diluted EPS because effect would be antidilutive|659,581|1,169,986|
 NOTE 14. INCOME (LOSS) PER SHARE (EPS) Basic EPS is calculated under the two-class method under which all earnings (distributed and undistributed) are allocated to each class of common stock and participating securities based on their respective rights to receive dividends. Our outstanding convertible preferred stocks are considered participating securities as the holders may participate in undistributed earnings with holders of common shares and are not obligated to share in our net losses. Diluted EPS is computed by dividing the net income attributable to RiceBran Technologies common shareholders by the weighted average number of common shares outstanding during the period increased by the number of additional common shares that would have been outstanding if the impact of assumed exercises and conversions is dilutive. The dilutive effects of outstanding options, warrants, nonvested shares and restricted stock units that vest solely on the basis of a service condition are calculated using the treasury stock method. The dilutive effects of the outstanding preferred stock are calculated using the if-converted method. Below are reconciliations of the numerators and denominators in the EPS computations, and information on potentially dilutive securities. The impacts of potentially dilutive securities outstanding at December 31, 2019 and 2018, were not included in the calculation of diluted EPS in 2019 and 2018 because to do so would be anti-dilutive. Those securities listed in the table above which were anti-dilutive in 2019 and 2018, which remain outstanding, could potentially dilute EPS in the future.


Question: What would be the average number of restricted stock units in 2018 and 2019 if the number of restricted stock units is decreased by 1,000,000 in 2019?

Python solution:
def solution():
    # Define variables name and value
    restricted_stock_units_2018 = 623603
    restricted_stock_units_2019 = 1235287
    decrease_in_2019 = 1000000

    # Do math calculation to get the answer
    average_restricted_stock_units = (restricted_stock_units_2018 + restricted_stock_units_2019 - decrease_in_2019) / 2
    
    return average_restricted_stock_units

Answer: 429445
||Year ended December 31,||
||2018|2019|
|Research and development expenses|125,280|150,745|
|Capitalization of development expenses|(49,688)|(60,202)|
|Amortization of capitalized development expenses|12,039|15,597|
|Research and development grants and credits|(321)|(49)|
|Total research and development expenses|87,310|106,091|
|Impairment of research and development related assets|1,278|4,755|
|Total|88,588|110,846|
 NOTE 23. EXPENSES BY NATURE Research and development consists of the following: The impairment expenses in 2018 and 2019 are related to customer specific projects. The Company’s operations in the Netherlands, Belgium and the United States receive research and development grants and credits from various sources.


Question: What would be the change in total Research and development expenses if total research and development expense for 2019 was 100,000 instead?

Python solution:
def solution():
    # Define variables name and value
    rd_expense_2018 = 88_588
    rd_expense_2019 = 100_000
    
    # Do math calculation to get the answer
    answer = rd_expense_2019 - rd_expense_2018
    
    return answer

Answer: 11412