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Kimi K2.5 (Venice) (thinking on) on Read a synthetic annual-report excerpt and compute financial ratios

KKimi K2.5 (Venice)thinking on · venice-mini-agent v1.3 · cloud · 2026-10-22 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first trySuperseded
Estimated cost
$0.02
Wall time
1m
Human step-ins
0
Outcome
Pass

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Superseded. This run was rescored on 2026-10-28 and replaced by a newer run. It no longer counts toward rankings, use-case tables or the data export; it is kept here for the record.

Summary

Exact prompt

# Read an annual-report excerpt and compute financial ratios `annual_report_excerpt.md` is an excerpt from a **fictional** company's annual report (statements plus notes). Read it and write `ratios.json` with the 16 values below. You may compute by hand or with a script (Python 3 standard library only). Use only this document. Watch the units and the notes. ## Rules 1. Dollar amounts in the statements are in thousands unless a line says otherwise. Notes can state amounts in millions; convert them to thousands. 2. Where a note restates a prior-year amount, use the restated amount everywhere that amount (or a total that includes it) is used. "Average X" = (FY2025 year-end X + FY2024 year-end X) / 2. 3. Total debt = current portion of long-term debt + long-term debt (net of current portion) + finance lease obligations (Note 7). Operating lease liabilities are not debt. 4. Free cash flow = net cash provided by operating activities - purchases of property and equipment - capitalized internal-use software. 5. Definitions (FY2025 unless stated): - `current_ratio` = total current assets / total current liabilities - `quick_ratio` = (cash and equivalents + short-term investments + accounts receivable) / total current liabilities - `gross_margin`, `operating_margin`, `net_margin` = gross profit, operating income, net income / net sales - `effective_tax_rate` = provision for income taxes / income before income taxes - `roe` = net income / average stockholders' equity - `total_debt_thousands` (rule 3, at Dec 31, 2025), `debt_to_equity` = total debt / Dec 31, 2025 equity - `interest_coverage` = operating income / interest expense - `fcf_thousands` (rule 4), `fcf_margin` = free cash flow / net sales - `inventory_turnover` = cost of sales / average inventory - `dso_days` = average accounts receivable / net sales * 365 - `revenue_growth` = FY2025 net sales / FY2024 net sales - 1 - `eps_diluted` = net income / diluted weighted-average shares (dollars per share) 6. Ratios and margins are plain fractions (0.25, not 25%). ## Output `ratios.json`: one JSON object with exactly these keys: `current_ratio`, `quick_ratio`, `gross_margin`, `operating_margin`, `net_margin`, `effective_tax_rate`, `roe`, `total_debt_thousands`, `debt_to_equity`, `interest_coverage`, `fcf_thousands`, `fcf_margin`, `inventory_turnover`, `dso_days`, `revenue_growth`, `eps_diluted`. (That is 16 keys: the 15 ratios plus total debt.) ## Scoring Hidden checks (partial credit = fraction passed; all must pass). Tolerances: fractions and ratios within 0.0005; `total_debt_thousands` and `fcf_thousands` within 0.5; `dso_days` within 0.05; `eps_diluted` within 0.005. - `liquidity`: current_ratio, quick_ratio - `margins_and_tax`: gross_margin, operating_margin, net_margin, effective_tax_rate - `return_on_equity`: roe (needs the restated equity) - `debt_and_coverage`: total_debt_thousands, debt_to_equity, interest_coverage (needs the note in millions) - `free_cash_flow`: fcf_thousands, fcf_margin - `efficiency`: inventory_turnover (needs the restated inventory), dso_days - `growth_and_eps`: revenue_growth, eps_diluted

A restated prior-year inventory and equity in a note, finance-lease debt stated in millions inside a note, a non-GAAP distractor, and averages that need the restated column. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Cost shown is a list-price estimate (measured tokens x pricing.json list price). Rescore note (Oct 22, 2026): Re-scored 2026-10-22 from the saved work dir: the original scoring step failed to start (exit 127, scorer interpreter missing), so the first score was not a real result. Model output unchanged; original kept as .orig-scorer127.

These are synthetic test cases for comparing AI models, not financial advice.

Success criteria: 1. liquidity 2. margins_and_tax 3. return_on_equity 4. debt_and_coverage 5. free_cash_flow 6. efficiency 7. growth_and_eps

Setup notes: Use Case Scout batch 9 case j09-10k-ratio-extraction (offline fixture). Prepared with batch9/prepare.sh; hidden key/tests kept outside the agent's work dir. Prompt = TASK.md verbatim. Scored with the scout's scorer: `python score.py WORKDIR KEYDIR`. Tools: list_files/read_file/write_file/run_shell (venice-mini-agent v1.3), web disabled. Single run, no retries. Harness: venice-mini-agent v1.3 (/workspace/usecase-runner/venice_agent2.py) via the Venice OpenAI-compatible API: same tool loop, system prompt and limits as the cases 02-25 Venice runs (max 25 turns, max_tokens 16000/call, temperature 0.2, Venice system prompt and web search off, per-run cost cap $0.05, thinking on (model default)). Same task text, work-dir layout and scorer as the Claude runs of this case. Cost = measured per-call tokens x venice_prices.json list price; paid from the Venice DIEM daily allowance. Harness: venice-mini-agent v1.3 via Venice OpenAI-compatible API (16000 max tokens/call, $0.05 run cap). Score: 7/7. Cost is an ESTIMATE: measured per-call tokens x pricing.json list price (paid from Venice DIEM allowance; Venice billing not itemized). input_tokens include cached reads. Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.02
Wall time
1m
Human step-ins
0
Turns
4
Model usage
ModelInput tokOutput tokCost
KKimi K2.5 (Venice)venice/kimi-k2-5thinking on11,5304,000$0.02

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: Kimi K2.5 (Venice) (venice/kimi-k2-5, thinking on) via venice-mini-agent v1.3, cloud.
  3. It counts as a success only if it meets every success criterion: 1. liquidity 2. margins_and_tax 3. return_on_equity 4. debt_and_coverage 5. free_cash_flow 6. efficiency 7. growth_and_eps
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

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Automated checks

Trust 80% comes from these checks (how Trust % works).

Evidence log
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   "final_message": " I have read the annual report excerpt and computed all 16 financial ratios. The calculations account for:\n\n1. **Restatements per Note 4**: FY2024 inventory restated from $131,455 to $127,905 thousand, and equity reduced by $3,550 thousand to $244,650 thousand\n2. **Finance lease obligations per Note 7**: $6.4 million ($6,400 thousand) added to total debt\n3. **Unit conversions**: All amounts converted to thousands as required\n\nThe `ratios.json` file contains:\n- **Liquidity**: current_ratio (2.400), quick_ratio (1.249)\n- **Margins & Tax**: gross_margin (0.402), operating_margin (0.117), net_margin (0.083), effective_tax_rate (0.220)\n- **Return on Equity**: roe (0.263) using restated average equity\n- **Debt & Coverage**: total_debt_thousands (166,900), debt_to_equity (0.581), interest_coverage (9.954)\n- **Free Cash Flow**: fcf_thousands (69,565), fcf_margin (0.083)\n- **Efficiency**: inventory_turnover (3.724) using restated inventory, dso_days (36.40)\n- **Growth & EPS**: revenue_growth (0.092), eps_diluted ($1.663)",
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    "result": "# Larkspur Outdoor Goods, Inc. - Annual Report excerpt (fiscal year ended December 31, 2025)\n\n*Fictional company. All figures are synthetic and were made up for this exercise.*\n\n## Item 7. Management's Discussion and Analysis (excerpt)\n\nNet sales grew on the strength of the trail-footwear line and the reopening of two distribution centers. Management also tracks a non-GAAP \"adjusted operating income\" of $112,400 thousand, which adds back restructuring and brand amortization; this measure is not used anywhere in the GAAP statements below.\n\nSegment net sales (in thousands): Footwear 391,220; Apparel 286,905; Equipment 164,490. Segment figures are shown for context only.\n\n## Item 8. Financial Statements\n\n### Consolidated Statements of Operations\n(in thousands, except per-share amounts)\n\n| | FY2025 | FY2024 |\n|---|---:|---:|\n| Net sales | 842,615 | 771,302 |\n| Cost of sales | 503,977 | 468,215 |\n| Gross profit | 338,638 | 303,087 |\n| Selling, general and administrative | 221,450 | 204,118 |\n| Research and development | 18,906 | 17,240 |\n| Operating income | 98,282 | 81,729 |\n| Interest expense | (9,874) | (10,512) |\n| Other income, net | 1,240 | 655 |\n| Income before income taxes | 89,648 | 71,872 |\n| Provision for income taxes | 19,723 | 15,812 |\n| Net income | 69,925 | 56,060 |\n| Weighted-average shares, basic (thousands) | 41,200 | 41,650 |\n| Weighted-average shares, diluted (thousands) | 42,050 | 42,300 |\n\n### Consolidated Balance Sheets\n(in thousands; FY2024 column as originally reported, see Note 4)\n\n| | Dec 31, 2025 | Dec 31, 2024 |\n|---|---:|---:|\n| Cash and cash equivalents | 61,340 | 48,905 |\n| Short-term investments | 15,000 | 22,500 |\n| Accounts receivable, net | 88,412 | 79,630 |\n| Inventories | 142,780 | 131,455 |\n| Prepaid expenses and other | 9,118 | 8,240 |\n| **Total current assets** | 316,650 | 290,730 |\n| Property and equipment, net | 204,500 | 196,300 |\n| Operating lease right-of-use assets | 38,200 | 41,000 |\n| Goodwill | 55,000 | 55,000 |\n| **Total assets** | 614,350 | 583,030 |\n| Accounts payable | 70,215 | 66,980 |\n| Accrued liabilities | 41,320 | 38,770 |\n| Current portion of long-term debt | 12,500 | 12,500 |\n| Current operating lease liabilities | 7,900 | 7,600 |\n| **Total current liabilities** | 131,935 | 125,850 |\n| Long-term debt, net of current portion | 148,000 | 160,500 |\n| Noncurrent operating lease liabilities | 32,400 | 35,600 |\n| Other long-term liabilities | 14,615 | 12,880 |\n| **Total stockholders' equity** | 287,400 | 248,200 |\n| **Total liabilities and equity** | 614,350 | 583,030 |\n\n### Consolidated Statement of Cash Flows (summary)\n(in thousands)\n\n| | FY2025 |\n|---|---:|\n| Net cash provided by operating activities | 112,640 |\n| Purchases of property and equipment | (38,975) |\n| Capitalized internal-use software | (4,100) |\n| Purchases of short-term investments, net of maturities | 7,500 |\n| Repayment of long-term debt | (12,500) |\n| Share repurchases | (29,580) |\n| Dividends paid | (14,920) |\n\n## Notes to th"
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        "role": "assistant",
        "content": " Let me compute all the ratios carefully using Python: ",
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          "id": "functions.run_shell:1",
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          "function": {
           "name": "run_shell",
           "arguments": "{\"command\": \"python3 << 'EOF'\\nimport json\\n\\n# Data extraction from annual_report_excerpt.md\\n# All amounts in thousands unless noted\\n\\n# Income Statement FY2025\\nnet_sales_2025 = 842615\\ncost_of_sales_2025 = 503977\\ngross_profit_2025 = 338638\\noperating_income_2025 = 98282\\ninterest_expense_2025 = 9874\\nincome_before_taxes_2025 = 89648\\nprovision_taxes_2025 = 19723\\nnet_income_2025 = 69925\\n\\n# Income Statement FY2024\\nnet_sales_2024 = 771302\\n\\n# Balance Sheet Dec 31, 2025\\ncash_2025 = 61340\\nshort_term_investments_2025 = 15000\\naccounts_receivable_2025 = 88412\\ninventories_2025 = 142780\\ntotal_current_assets_2025 = 316650\\ntotal_current_liabilities_2025 = 131935\\ncurrent_portion_long_term_debt_2025 = 12500\\nlong_term_debt_net_2025 = 148000\\ntotal_stockholders_equity_2025 = 287400\\n\\n# Balance Sheet Dec 31, 2024 (restated per Note 4)\\naccounts_receivable_2024 = 79630\\ninventories_2024_original = 131455\\ninventories_2024_restated = 127905  # per Note 4\\ntotal_stockholders_equity_2024_original = 248200\\ntotal_stockholders_equity_2024_restated = 248200 - 3550  # 244650\\n\\n# Note 7 - Finance lease obligations in millions, convert to thousands\\nfinance_lease_total = 6.4 * 1000  # $6.4 million = 6,400 thousand\\nfinance_lease_current = 1.1 * 1000  # $1.1 million = 1,100 thousand\\n\\n# Cash Flow FY2025\\nnet_cash_operating_2025 = 112640\\npurchases_property_equipment = 38975\\ncapitalized_software = 4100\\n\\n# Shares\\ndiluted_shares = 42050  # in thousands\\n\\n# Calculations\\n# 1. current_ratio = total current assets / total current liabilities\\ncurrent_ratio = total_current_assets_2025 / total_current_liabilities_2025\\n\\n# 2. quick_ratio = (cash + short-term investments + accounts receivable) / total current liabilities\\nquick_numerator = cash_2025 + short_term_investments_2025 + accounts_receivable_2025\\nquick_ratio = quick_numerator / total_current_liabilities_2025\\n\\n# 3. gross_margin = gross profit / net sales\\ngross_margin = gross_profit_2025 / net_sales_2025\\n\\n# 4. operating_margin = operating income / net sales\\noperating_margin = operating_income_2025 / net_sales_2025\\n\\n# 5. net_margin = net income / net sales\\nnet_margin = net_income_2025 / net_sales_2025\\n\\n# 6. effective_tax_rate = provision for income taxes / income before income taxes\\neffective_tax_rate = provision_taxes_2025 / income_before_taxes_2025\\n\\n# 7. roe = net income / average stockholders' equity\\n# Average equity = (FY2025 equity + FY2024 restated equity) / 2\\naverage_equity = (total_stockholders_equity_2025 + total_stockholders_equity_2024_restated) / 2\\nroe = net_income_2025 / average_equity\\n\\n# 8. total_debt_thousands = current portion + long-term debt + finance lease obligations\\ntotal_debt_thousands = current_portion_long_term_debt_2025 + long_term_debt_net_2025 + finance_lease_total\\n\\n# 9. debt_to_equity = total debt / Dec 31, 2025 equity\\ndebt_to_equity = total_debt_thousands / total_stockholders_equity_2025\\n\\n# 10. interest_coverage = operating income / interest expense\\ninterest_coverage = operating_income_2025 / interest_expense_2025\\n\\n# 11. fcf_thousands = net cash from operating - purchases of P&E - capitalized software\\nfcf_thousands = net_cash_operating_2025 - purchases_property_equipment - capitalized_software\\n\\n# 12. fcf_margin = free cash flow / net sales\\nfcf_margin = fcf_thousands / net_sales_2025\\n\\n# 13. inventory_turnover = cost of sales / average inventory\\n# Average inventory = (FY2025 inventory + FY2024 restated inventory) / 2\\naverage_inventory = (inventories_2025 + inventories_2024_restated) / 2\\ninventory_turnover = cost_of_sales_2025 / average_inventory\\n\\n# 14. dso_days = average accounts receivable / net sales * 365\\naverage_accounts_receivable = (accounts_receivable_2025 + accounts_receivable_2024) / 2\\ndso_days = (average_accounts_receivable / net_sales_2025) * 365\\n\\n# 15. revenue_growth = FY2025 net sales / FY2024 net sales - 1\\nrevenue_growth = net_sales_2025 / net_sales_2024 - 1\\n\\n# 16. eps_diluted = net income / diluted weighted-average shares\\n# Note: shares are in thousands, net income is in thousands, so result is dollars per share\\neps_diluted = net_income_2025 / diluted_shares\\n\\n# Create output dictionary\\nratios = {\\n    \\\"current_ratio\\\": current_ratio,\\n    \\\"quick_ratio\\\": quick_ratio,\\n    \\\"gross_margin\\\": gross_margin,\\n    \\\"operating_margin\\\": operating_margin,\\n    \\\"net_margin\\\": net_margin,\\n    \\\"effective_tax_rate\\\": effective_tax_rate,\\n    \\\"roe\\\": roe,\\n    \\\"total_debt_thousands\\\": total_debt_thousands,\\n    \\\"debt_to_equity\\\": debt_to_equity,\\n    \\\"interest_coverage\\\": interest_coverage,\\n    \\\"fcf_thousands\\\": fcf_thousands,\\n    \\\"fcf_margin\\\": fcf_margin,\\n    \\\"inventory_turnover\\\": inventory_turnover,\\n    \\\"dso_days\\\": dso_days,\\n    \\\"revenue_growth\\\": revenue_growth,\\n    \\\"eps_diluted\\\": eps_diluted\\n}\\n\\n# Print results\\nprint(\\\"Calculated Ratios:\\\")\\nfor key, value in ratios.items():\\n    print(f\\\"  {key}: {value}\\\")\\n\\n# Write to JSON file\\nwith open('ratios.json', 'w') as f:\\n    json.dump(ratios, f, indent=2)\\n\\nprint(\\\"\\\\nWritten to ratios.json\\\")\\nEOF\"}"
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        ],
        "reasoning_content": " Now I have all the information I need. Let me extract the key values and compute the ratios.\n\nKey values from the document:\n- Net sales FY2025: 842,615\n- Net sales FY2024: 771,302\n- Cost of sales FY2025: 503,977\n- Gross profit FY2025: 338,638\n- Operating income FY2025: 98,282\n- Net income FY2025: 69,925\n- Provision for income taxes FY2025: 19,723\n- Income before income taxes FY2025: 89,648\n- Interest expense FY2025: 9,874\n\nBalance Sheet Dec 31, 2025:\n- Cash and cash equivalents: 61,340\n- Short-term investments: 15,000\n- Accounts receivable: 88,412\n- Inventories: 142,780\n- Total current assets: 316,650\n- Total current liabilities: 131,935\n- Long-term debt, net of current portion: 148,000\n- Current portion of long-term debt: 12,500\n- Total stockholders' equity: 287,400\n\nBalance Sheet Dec 31, 2024 (restated per Note 4):\n- Inventories: 127,905 (restated from 131,455)\n- Accounts receivable: 79,630\n- Total stockholders' equity: 248,200 - 3,550 = 244,650 (restated)\n\nNote 7 - Finance lease obligations:\n- $6.4 million = 6,400 thousand at Dec 31, 2025\n- Of which $1.1 million is current (1,100 thousand)\n\nCash Flow FY2025:\n- Net cash provided by operating activities: 112,640\n\n\n- Purchases of property and equipment: 38,975\n- Capitalized internal-use software: 4,100\n\nShares:\n- Diluted weighted-average shares: 42,050 thousand\n\nNow I'll calculate each ratio step by step. The current ratio is 316,650 divided by 131,935, which equals approximately 2.400. For the quick ratio, I add cash, short-term investments, and accounts receivable (61,340 + 15,000 + 88,412 = 164,752) and divide by current liabilities to get about 1.249. The gross margin is 338,638 divided by 842,615, yielding roughly 0.402.\n\nThe operating margin comes to 98,282 / 842,615 \u2248 0.117, while the net margin is 69,925 / 842,615 \u2248 0.083. The effective tax rate calculates as 19,723 / 89,648 \u2248 0.220. For return on equity, I need the average of beginning and ending equity positions.\n\nThe beginning equity of 244,650 plus ending equity of 287,400 gives 532,050, which divided by 2 equals 266,025. Net income of 69,925 divided by this average equity yields approximately 0.263. For total debt, I'm combining the current portion of long-term debt at 12,500 with the long-term debt net of current portion.\n\nAdding the finance lease obligations of 6,400 brings total debt to 166,900. The debt-to-equity ratio is 166,900 divided by 287,400, which equals approximately 0.581. Interest coverage is calculated as operating income of 98,282 divided by interest expense of 9,874, giving roughly 9.95.\n\nFree cash flow is determined by taking net cash from operating activities of 112,640 and subtracting capital expenditures of 38,975 and software capitalization of 4,100, resulting in 69,565. The free cash flow margin is then 69,565 divided by net sales of 842,615, yielding about 0.0825.\n\nFor inventory turnover, I'm using cost of sales of 503,977 divided by average inventory. The average inventory calculation uses the restated 2024 figure of 127,905 and 2025 figure of 142,780, giving an average of 135,342.5 and a turnover ratio of approximately 3.724. Days sales outstanding is calculated using average accounts receivable of 84,021 divided by net sales of 842,615, multiplied by 365 days.\n\nRevenue growth is 842,615 divided by 771,302 minus 1, which equals approximately 0.0925. Earnings per share on a diluted basis is 69,925 divided by 42,050, giving roughly 1.663. I should verify these calculations using a Python script to ensure accuracy."
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     "command": "python3 << 'EOF'\nimport json\n\n# Data extraction from annual_report_excerpt.md\n# All amounts in thousands unless noted\n\n# Income Statement FY2025\nnet_sales_2025 = 842615\ncost_of_sales_2025 = 503977\ngross_profit_2025 = 338638\noperating_income_2025 = 98282\ninterest_expense_2025 = 9874\nincome_before_taxes_2025 = 89648\nprovision_taxes_2025 = 19723\nnet_income_2025 = 69925\n\n# Income Statement FY2024\nnet_sales_2024 = 771302\n\n# Balance Sheet Dec 31, 2025\ncash_2025 = 61340\nshort_term_investments_2025 = 15000\naccounts_receivable_2025 = 88412\ninventories_2025 = 142780\ntotal_current_assets_2025 = 316650\ntotal_current_liabilities_2025 = 131935\ncurrent_portion_long_term_debt_2025 = 12500\nlong_term_debt_net_2025 = 148000\ntotal_stockholders_equity_2025 = 287400\n\n# Balance Sheet Dec 31, 2024 (restated per Note 4)\naccounts_receivable_2024 = 79630\ninventories_2024_original = 131455\ninventories_2024_restated = 127905  # per Note 4\ntotal_stockholders_equity_2024_original = 248200\ntotal_stockholders_equity_2024_restated = 248200 - 3550  # 244650\n\n# Note 7 - Finance lease obligations in millions, convert to thousands\nfinance_lease_total = 6.4 * 1000  # $6.4 million = 6,400 thousand\nfinance_lease_current = 1.1 * 1000  # $1.1 million = 1,100 thousand\n\n# Cash Flow FY2025\nnet_cash_operating_2025 = 112640\npurchases_property_equipment = 38975\ncapitalized_software = 4100\n\n# Shares\ndiluted_shares = 42050  # in thousands\n\n# Calculations\n# 1. current_ratio = total current assets / total current liabilities\ncurrent_ratio = total_current_assets_2025 / total_current_liabilities_2025\n\n# 2. quick_ratio = (cash + short-term investments + accounts receivable) / total current liabilities\nquick_numerator = cash_2025 + short_term_investments_2025 + accounts_receivable_2025\nquick_ratio = quick_numerator / total_current_liabilities_2025\n\n# 3. gross_margin = gross profit / net sales\ngross_margin = gross_profit_2025 / net_sales_2025\n\n# 4. operating_margin = operating income / net sales\noperating_margin = operating_income_2025 / net_sales_2025\n\n# 5. net_margin = net income / net sales\nnet_margin = net_income_2025 / net_sales_2025\n\n# 6. effective_tax_rate = provision for income taxes / income before income taxes\neffective_tax_rate = provision_taxes_2025 / income_before_taxes_2025\n\n# 7. roe = net income / average stockholders' equity\n# Average equity = (FY2025 equity + FY2024 restated equity) / 2\naverage_equity = (total_stockholders_equity_2025 + total_stockholders_equity_2024_restated) / 2\nroe = net_income_2025 / average_equity\n\n# 8. total_debt_thousands = current portion + long-term debt + finance lease obligations\ntotal_debt_thousands = current_portion_long_term_debt_2025 + long_term_debt_net_2025 + finance_lease_total\n\n# 9. debt_to_equity = total debt / Dec 31, 2025 equity\ndebt_to_equity = total_debt_thousands / total_stockholders_equity_2025\n\n# 10. interest_coverage = operating income / interest expense\ninterest_coverage = operating_income_2025 / interest_expense_2025\n\n# 11. fcf_thousands = net cash from operating - purchases of P&E - capitalized software\nfcf_thousands = net_cash_operating_2025 - purchases_property_equipment - capitalized_software\n\n# 12. fcf_margin = free cash flow / net sales\nfcf_margin = fcf_thousands / net_sales_2025\n\n# 13. inventory_turnover = cost of sales / average inventory\n# Average inventory = (FY2025 inventory + FY2024 restated inventory) / 2\naverage_inventory = (inventories_2025 + inventories_2024_restated) / 2\ninventory_turnover = cost_of_sales_2025 / average_inventory\n\n# 14. dso_days = average accounts receivable / net sales * 365\naverage_accounts_receivable = (accounts_receivable_2025 + accounts_receivable_2024) / 2\ndso_days = (average_accounts_receivable / net_sales_2025) * 365\n\n# 15. revenue_growth = FY2025 net sales / FY2024 net sales - 1\nrevenue_growth = net_sales_2025 / net_sales_2024 - 1\n\n# 16. eps_diluted = net income / diluted weighted-average shares\n# Note: shares are in thousands, net income is in thousands, so result is dollars per share\neps_diluted = net_income_2025 / diluted_shares\n\n# Create output dictionary\nratios = {\n    \"current_ratio\": current_ratio,\n    \"quick_ratio\": quick_ratio,\n    \"gross_margin\": gross_margin,\n    \"operating_margin\": operating_margin,\n    \"net_margin\": net_margin,\n    \"effective_tax_rate\": effective_tax_rate,\n    \"roe\": roe,\n    \"total_debt_thousands\": total_debt_thousands,\n    \"debt_to_equity\": debt_to_equity,\n    \"interest_coverage\": interest_coverage,\n    \"fcf_thousands\": fcf_thousands,\n    \"fcf_margin\": fcf_margin,\n    \"inventory_turnover\": inventory_turnover,\n    \"dso_days\": dso_days,\n    \"revenue_growth\": revenue_growth,\n    \"eps_diluted\": eps_diluted\n}\n\n# Print results\nprint(\"Calculated Ratios:\")\nfor key, value in ratios.items():\n    print(f\"  {key}: {value}\")\n\n# Write to JSON file\nwith open('ratios.json', 'w') as f:\n    json.dump(ratios, f, indent=2)\n\nprint(\"\\nWritten to ratios.json\")\nEOF"
    },
    "result": "exit=0\nstdout:\nCalculated Ratios:\n  current_ratio: 2.400045476939402\n  quick_ratio: 1.24873612005912\n  gross_margin: 0.401889356348985\n  operating_margin: 0.11663927179079414\n  net_margin: 0.08298570521531186\n  effective_tax_rate: 0.2200049080849545\n  roe: 0.2628512357861103\n  total_debt_thousands: 166900.0\n  debt_to_equity: 0.580723729993041\n  interest_coverage: 9.953615556005671\n  fcf_thousands: 69565\n  fcf_margin: 0.08255846382986298\n  inventory_turnover: 3.7237157581690896\n  dso_days: 36.395821341893985\n  revenue_growth: 0.09245794772994231\n  eps_diluted: 1.6629013079667063\n\nWritten to ratios.json\n\nstderr:\n"
   },
   {
    "turn": 3,
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          }
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        ],
        "reasoning_content": " Let me verify the calculations by double-checking the key values:\n\n1. **current_ratio**: 316,650 / 131,935 = 2.400045... \u2713\n2. **quick_ratio**: (61,340 + 15,000 + 88,412) / 131,935 = 164,752 / 131,935 = 1.248736... \u2713\n3. **gross_margin**: 338,638 / 842,615 = 0.401889... \u2713\n4. **operating_margin**: 98,282 / 842,615 = 0.116639... \u2713\n5. **net_margin**: 69,925 / 842,615 = 0.082985... \u2713\n6. **effective_tax_rate**: 19,723 / 89,648 = 0.220004... \u2713\n7. **roe**: 69,925 / ((287,400 + 244,650) / 2) = 69,925 / 266,025 = 0.262851... \u2713\n8. **total_debt_thousands**: 12,500 + 148,000 + 6,400 = 166,900 \u2713\n9. **debt_to_equity**: 166,900 / 287,400 = 0.580723... \u2713\n10. **interest_coverage**: 98,282 / 9,874 = 9.953615... \u2713\n11. **fcf_thousands**: 112,640 - 38,975 - 4,100 = 69,565 \u2713\n12. **fcf_margin**: 69,565 / 842,615 = 0.082558... \u2713\n13. **inventory_turnover**: 503,977 / ((142,780 + 127,905) / 2) = 503,977 / 135,342.5 = 3.723715... \u2713\n14. **dso_days**: ((88,412 + 79,630) / 2) / 842,615 * 365 = 84,021 / 842,615 * 365 = 36.3958... \u2713\n15. **revenue_growth**: 842,615 / 771,302 - 1 = 0.092457... \u2713\n\n\n16. **eps_diluted**: 69,925 / 42,050 = 1.662901... \u2713\n\nAll calculations check out. The JSON file has been created with the correct values."
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   {
    "turn": 3,
    "tool": "read_file",
    "args": {
     "path": "ratios.json"
    },
    "result": "{\n  \"current_ratio\": 2.400045476939402,\n  \"quick_ratio\": 1.24873612005912,\n  \"gross_margin\": 0.401889356348985,\n  \"operating_margin\": 0.11663927179079414,\n  \"net_margin\": 0.08298570521531186,\n  \"effective_tax_rate\": 0.2200049080849545,\n  \"roe\": 0.2628512357861103,\n  \"total_debt_thousands\": 166900.0,\n  \"debt_to_equity\": 0.580723729993041,\n  \"interest_coverage\": 9.953615556005671,\n  \"fcf_thousands\": 69565,\n  \"fcf_margin\": 0.08255846382986298,\n  \"inventory_turnover\": 3.7237157581690896,\n  \"dso_days\": 36.395821341893985,\n  \"revenue_growth\": 0.09245794772994231,\n  \"eps_diluted\": 1.6629013079667063\n}"
   },
   {
    "turn": 4,
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        "content": " I have read the annual report excerpt and computed all 16 financial ratios. The calculations account for:\n\n1. **Restatements per Note 4**: FY2024 inventory restated from $131,455 to $127,905 thousand, and equity reduced by $3,550 thousand to $244,650 thousand\n2. **Finance lease obligations per Note 7**: $6.4 million ($6,400 thousand) added to total debt\n3. **Unit conversions**: All amounts converted to thousands as required\n\nThe `ratios.json` file contains:\n- **Liquidity**: current_ratio (2.400), quick_ratio (1.249)\n- **Margins & Tax**: gross_margin (0.402), operating_margin (0.117), net_margin (0.083), effective_tax_rate (0.220)\n- **Return on Equity**: roe (0.263) using restated average equity\n- **Debt & Coverage**: total_debt_thousands (166,900), debt_to_equity (0.581), interest_coverage (9.954)\n- **Free Cash Flow**: fcf_thousands (69,565), fcf_margin (0.083)\n- **Efficiency**: inventory_turnover (3.724) using restated inventory, dso_days (36.40)\n- **Growth & EPS**: revenue_growth (0.092), eps_diluted ($1.663)",
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        "reasoning_content": " The JSON file has been created with all 16 required values. Let me verify my calculations:\n\n1. **current_ratio**: 316,650 / 131,935 = 2.4000... \u2713\n2. **quick_ratio**: (61,340 + 15,000 + 88,412) / 131,935 = 164,752 / 131,935 = 1.2487... \u2713\n3. **gross_margin**: 338,638 / 842,615 = 0.4019... \u2713\n4. **operating_margin**: 98,282 / 842,615 = 0.1166... \u2713\n5. **net_margin**: 69,925 / 842,615 = 0.0830... \u2713\n6. **effective_tax_rate**: 19,723 / 89,648 = 0.2200... \u2713\n7. **roe**: 69,925 / ((287,400 + 244,650) / 2) = 69,925 / 266,025 = 0.2629... \u2713\n8. **total_debt_thousands**: 12,500 + 148,000 + 6,400 = 166,900 \u2713\n9. **debt_to_equity**: 166,900 / 287,400 = 0.5807... \u2713\n10. **interest_coverage**: 98,282 / 9,874 = 9.9536... \u2713\n11. **fcf_thousands**: 112,640 - 38,975 - 4,100 = 69,565 \u2713\n12. **fcf_margin**: 69,565 / 842,615 = 0.0826... \u2713\n13. **inventory_turnover**: 503,977 / ((142,780 + 127,905) / 2) = 503,977 / 135,342.5 = 3.7237... \u2713\n14. **dso_days**: ((88,412 + 79,630) / 2) / 842,615 * 365 = 84,021 / 842,615 * 365 = 36.3958... \u2713\n15. **revenue_growth**: 842,615 / 771,302 - 1 = 0.0925... \u2713\n16. **eps_diluted**: 69,925 / 42,050 = 1.6629... \u2713\n\nAll calculations look correct. The file has been written successfully."
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