Task: Table-QA (source dataset: FinQA)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| ( in thousands )                        | at december 31 , 2016   | at december 31 , 2015   | at december 31 , 2014   | at december 31 , 2013   | at december 31 , 2012   |
|:----------------------------------------|:------------------------|:------------------------|:------------------------|:------------------------|:------------------------|
| cash and cash equivalents               | $ 250470                | $ 129852                | $ 593175                | $ 347489                | $ 341841                |
| working capital ( 1 )                   | 1279337                 | 1019953                 | 1127772                 | 702181                  | 651370                  |
| inventories                             | 917491                  | 783031                  | 536714                  | 469006                  | 319286                  |
| total assets                            | 3644331                 | 2865970                 | 2092428                 | 1576369                 | 1155052                 |
| total debt including current maturities | 817388                  | 666070                  | 281546                  | 151551                  | 59858                   |
| total stockholders 2019 equity          | $ 2030900               | $ 1668222               | $ 1350300               | $ 1053354               | $ 816922                |

Question:
what is the debt-to-equity ratio in 2016?


pre_text: other items on our consolidated financial statements have been appropriately adjusted from the amounts provided in the earnings release , including a reduction of our full year 2016 gross profit and income from operations by $ 2.9 million , and a reduction of net income by $ 1.7 million. .
post_text: ( 1 ) working capital is defined as current assets minus current liabilities. .
label: 0.40248000000000006
qa: answer: 40.2%
ann_table_rows: 5
6
steps: op: divide1-1
arg1: 817388
arg2: 2030900
res: 40.2%
program: divide(817388, 2030900)
gold_inds: table_5: ( in thousands ) the total debt including current maturities of at december 31 , 2016 is 817388 ; the total debt including current maturities of at december 31 , 2015 is 666070 ; the total debt including current maturities of at december 31 , 2014 is 281546 ; the total debt including current maturities of at december 31 , 2013 is 151551 ; the total debt including current maturities of at december 31 , 2012 is 59858 ;
table_6: ( in thousands ) the total stockholders 2019 equity of at december 31 , 2016 is $ 2030900 ; the total stockholders 2019 equity of at december 31 , 2015 is $ 1668222 ; the total stockholders 2019 equity of at december 31 , 2014 is $ 1350300 ; the total stockholders 2019 equity of at december 31 , 2013 is $ 1053354 ; the total stockholders 2019 equity of at december 31 , 2012 is $ 816922 ;
exe_ans: 0.40248000000000006
tfidftopn: text_0: other items on our consolidated financial statements have been appropriately adjusted from the amounts provided in the earnings release , including a reduction of our full year 2016 gross profit and income from operations by $ 2.9 million , and a reduction of net income by $ 1.7 million. .
program_re: divide(817388, 2030900)
model_input: table_1
( in thousands ) the cash and cash equivalents of at december 31 , 2016 is $ 250470 ; the cash and cash equivalents of at december 31 , 2015 is $ 129852 ; the cash and cash equivalents of at december 31 , 2014 is $ 593175 ; the cash and cash equivalents of at december 31 , 2013 is $ 347489 ; the cash and cash equivalents of at december 31 , 2012 is $ 341841 ;
table_5
( in thousands ) the total debt including current maturities of at december 31 , 2016 is 817388 ; the total debt including current maturities of at december 31 , 2015 is 666070 ; the total debt including current maturities of at december 31 , 2014 is 281546 ; the total debt including current maturities of at december 31 , 2013 is 151551 ; the total debt including current maturities of at december 31 , 2012 is 59858 ;
table_6
( in thousands ) the total stockholders 2019 equity of at december 31 , 2016 is $ 2030900 ; the total stockholders 2019 equity of at december 31 , 2015 is $ 1668222 ; the total stockholders 2019 equity of at december 31 , 2014 is $ 1350300 ; the total stockholders 2019 equity of at december 31 , 2013 is $ 1053354 ; the total stockholders 2019 equity of at december 31 , 2012 is $ 816922 ;