MiniMax M2.5 (Venice) (thinking on) on Read a synthetic annual-report excerpt and compute financial ratios
?MiniMax M2.5 (Venice)thinking on · venice-mini-agent v1.3.1 · cloud · 2026-10-26 · by @bobsiopener
- Estimated cost
- $0.0061
- Wall time
- 2m
- Human step-ins
- 0
- Outcome
- Pass
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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. Inspired by https://news.ycombinator.com/item?id=47766370 Headless, offline run on a reproducible fixture. Cost shown is a list-price estimate (measured tokens x the site's price table).
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 the case's setup script; hidden key/tests kept outside the agent's work dir. Prompt = TASK.md verbatim. Scored automatically with the scout's scorer. Tools: list_files/read_file/write_file/run_shell (venice-mini-agent v1.3), web disabled. Single run, no retries. Harness: venice-mini-agent v1.3.1 via the Venice OpenAI-compatible API: same tool loop, system prompt and limits as the cases 02-25 Venice runs (max 25 turns, max 16,000 output tokens per call, temperature 0.2, Venice system prompt and web search off, per-run cost cap $0.0383, 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 list price; paid from the Venice DIEM daily allowance. Harness: venice-mini-agent v1.3.1 via Venice OpenAI-compatible API (16000 max tokens/call, $0.0383 run cap). Score: 7/7. Cost is an ESTIMATE: measured per-call tokens x the site's list-price table (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
- $0.0061
- Wall time
- 2m
- Human step-ins
- 0
- Turns
- 4
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| ?MiniMax M2.5 (Venice)venice/minimax-m25thinking on | 12,139 | 4,947 | $0.0061 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: MiniMax M2.5 (Venice) (venice/minimax-m25, thinking on) via
venice-mini-agent v1.3.1, cloud. - 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
- 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.
Was this useful?
Automated checks
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
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"final_message": "All 16 ratios computed and written to `ratios.json`. Key calculations:\n\n- **Total debt** = 12,500 (current LT debt) + 148,000 (LT debt) + 6,400 (finance leases from Note 7, converted from $6.4M) = **166,900**\n- **Restated FY2024 inventory** = 127,905 (used for inventory turnover average)\n- **Restated FY2024 equity** = 248,200 \u2212 3,550 = 244,650 (used for ROE average)\n- **Free cash flow** = 112,640 \u2212 38,975 \u2212 4,100 = **69,565**\n- **EPS diluted** = 69,925 / 42,050 = **1.6629**",
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"reasoning_content": "Let me start by reading the annual report excerpt to understand the financial data.",
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"turn": 1,
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"path": "annual_report_excerpt.md"
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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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"content": "I'll read the document carefully and compute the ratios using a Python script for precision.",
"reasoning_content": "Let me carefully extract all the data and compute each ratio.\n\n**Key data points:**\n\nIncome Statement (FY2025):\n- Net sales: 842,615\n- Cost of sales: 503,977\n- Gross profit: 338,638\n- SG&A: 221,450\n- R&D: 18,906\n- Operating income: 98,282\n- Interest expense: 9,874\n- Other income, net: 1,240\n- Income before income taxes: 89,648\n- Provision for income taxes: 19,723\n- Net income: 69,925\n- Weighted-average shares, diluted: 42,050\n\nIncome Statement (FY2024):\n- Net sales: 771,302\n- Cost of sales: 468,215\n- Net income: 56,060\n\nBalance Sheet (Dec 31, 2025):\n- Cash and cash equivalents: 61,340\n- Short-term investments: 15,000\n- Accounts receivable, net: 88,412\n- Inventories: 142,780\n- Prepaid expenses and other: 9,118\n- Total current assets: 316,650\n- Total assets: 614,350\n- Accounts payable: 70,215\n- Accrued liabilities: 41,320\n- Current portion of long-term debt: 12,500\n- Current operating lease liabilities: 7,900\n- Total current liabilities: 131,935\n- Long-term debt, net of current portion: 148,000\n- Noncurrent operating lease liabilities: 32,400\n- Other long-term liabilities: 14,615\n- Total stockholders' equity: 287,400\n\nBalance Sheet (Dec 31, 2024) - restated:\n- Cash and cash equivalents: 48,905\n- Short-term investments: 22,500\n- Accounts receivable, net: 79,630\n- Inventories: 127,905 (restated from 131,455)\n- Prepaid expenses and other: 8,240\n- Total current assets: restated (need to compute: 48,905 + 22,500 + 79,630 + 127,905 + 8,240 = 287,180)\n- Total stockholders' equity: 248,200 - 3,550 = 244,650 (restated)\n\nCash Flow (FY2025):\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\nNote 7 - Debt:\n- Finance lease obligations: $6.4 million at Dec 31, 2025 (of which $1.1 million is current)\n- So total finance leases = 6,400 thousand\n- Current portion = 1,100 thousand\n- Noncurrent portion = 5,300 thousand\n\n**Total debt (rule 3):**\n- Current portion of long-term debt: 12,500\n- Long-term debt, net of current portion: 148,000\n- Finance lease obligations: 6,400 (total, both current and noncurrent)\n- Total debt = 12,500 + 148,000 + 6,400 = 166,900 thousand\n\n**Now compute each ratio:**\n\n1. **current_ratio** = total current assets / total current liabilities\n = 316,650 / 131,935 = 2.3998...\n Let me compute: 316,650 / 131,935 = 2.39990...\n 131,935 * 2.4 = 316,644\n 316,650 - 316,644 = 6\n 6 / 131,935 = 0.0000455\n So 2.4000455... \u2248 2.4000\n\n2. **quick_ratio** = (cash + short-term investments + AR) / total current liabilities\n = (61,340 + 15,000 + 88,412) / 131,935\n = 164,752 / 131,935\n = 1.2487...\n 131,935 * 1.25 = 164,918.75\n 164,752 - 164,918.75 = -166.75\n -166.75 / 131,935 = -0.001264\n So 1.25 - 0.001264 = 1.248736\n \u2248 1.2487\n\n3. **gross_margin** = gross profit / net sales\n = 338,638 / 842,615\n = 0.4019...\n 842,615 * 0.4 = 337,046\n 338,638 - 337,046 = 1,592\n 1,592 / 842,615 = 0.001889\n So 0.4 + 0.001889 = 0.401889\n \u2248 0.4019\n\n4. **operating_margin** = operating income / net sales\n = 98,282 / 842,615\n = 0.1166...\n 842,615 * 0.116 = 97,743.34\n 98,282 - 97,743.34 = 538.66\n 538.66 / 842,615 = 0.000639\n So 0.116 + 0.000639 = 0.116639\n \u2248 0.1166\n\n5. **net_margin** = net income / net sales\n = 69,925 / 842,615\n = 0.08298...\n 842,615 * 0.083 = 69,937.045\n 69,925 - 69,937.045 = -12.045\n -12.045 / 842,615 = -0.0000143\n So 0.083 - 0.0000143 = 0.0829857\n \u2248 0.0830\n\n6. **effective_tax_rate** = provision for income taxes / income before income taxes\n = 19,723 / 89,648\n = 0.22000...\n 89,648 * 0.22 = 19,722.56\n 19,723 - 19,722.56 = 0.44\n 0.44 / 89,648 = 0.0000049\n So 0.22 + 0.0000049 = 0.2200049\n \u2248 0.2200\n\n7. **roe** = net income / average stockholders' equity\n Average equity = (287,400 + 244,650) / 2 = 532,050 / 2 = 266,025\n = 69,925 / 266,025\n = 0.2628...\n 266,025 * 0.26 = 69,166.5\n 69,925 - 69,166.5 = 758.5\n 758.5 / 266,025 = 0.002851\n So 0.26 + 0.002851 = 0.262851\n \u2248 0.2629\n\n8. **total_debt_thousands** = 166,900\n\n9. **debt_to_equity** = total debt / Dec 31, 2025 equity\n = 166,900 / 287,400\n = 0.5807...\n 287,400 * 0.58 = 166,692\n 166,900 - 166,692 = 208\n 208 / 287,400 = 0.000724\n So 0.58 + 0.000724 = 0.580724\n \u2248 0.5807\n\n10. **interest_coverage** = operating income / interest expense\n = 98,282 / 9,874\n = 9.9536...\n 9,874 * 10 = 98,740\n 98,282 - 98,740 = -458\n -458 / 9,874 = -0.04639\n So 10 - 0.04639 = 9.95361\n \u2248 9.9536\n\n11. **fcf_thousands** = operating cash flow - PP&E purchases - capitalized software\n = 112,640 - 38,975 - 4,100\n = 69,565\n\n12. **fcf_margin** = FCF / net sales\n = 69,565 / 842,615\n = 0.08256...\n 842,615 * 0.0825 = 69,515.7375\n 69,565 - 69,515.7375 = 49.2625\n 49.2625 / 842,615 = 0.0000585\n So 0.0825 + 0.0000585 = 0.0825585\n \u2248 0.0826\n\n13. **inventory_turnover** = cost of sales / average inventory\n Average inventory = (142,780 + 127,905) / 2 = 270,685 / 2 = 135,342.5\n = 503,977 / 135,342.5\n = 3.7237...\n 135,342.5 * 3.7 = 500,767.25\n 503,977 - 500,767.25 = 3,209.75\n 3,209.75 / 135,342.5 = 0.023715\n So 3.7 + 0.023715 = 3.723715\n \u2248 3.7237\n\n14. **dso_days** = average AR / net sales * 365\n Average AR = (88,412 + 79,630) / 2 = 168,042 / 2 = 84,021\n = 84,021 / 842,615 * 365\n = 84,021 * 365 / 842,615\n = 30,667,665 / 842,615\n = 36.395...\n Let me compute more precisely:\n 842,615 * 36 = 30,334,140\n 30,667,665 - 30,334,140 = 333,525\n 333,525 / 842,615 = 0.39585\n So 36 + 0.39585 = 36.39585\n \u2248 36.40\n\n15. **revenue_growth** = FY2025 net sales / FY2024 net sales - 1\n = 842,615 / 771,302 - 1\n = 1.0925... - 1\n 771,302 * 1.09 = 840,719.18\n 842,615 - 840,719.18 = 1,895.82\n 1,895.82 / 771,302 = 0.002458\n So 1.09 + 0.002458 = 1.092458\n Revenue growth = 0.092458\n \u2248 0.0925\n\n16. **eps_diluted** = net income / diluted weighted-average shares\n = 69,925 / 42,050\n = 1.6628...\n 42,050 * 1.66 = 69,803\n 69,925 - 69,803 = 122\n 122 / 42,050 = 0.002901\n So 1.66 + 0.002901 = 1.662901\n \u2248 1.6629\n\nLet me verify these with a Python script to be precise.",
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"arguments": "{\"command\":\"cat << 'EOF' > /tmp/compute.py\\nimport json\\n\\n# Income statement (FY2025, FY2024) in thousands\\nnet_sales_2025 = 842615\\nnet_sales_2024 = 771302\\ncost_of_sales_2025 = 503977\\ngross_profit_2025 = 338638\\noperating_income_2025 = 98282\\ninterest_expense_2025 = 9874\\nincome_before_tax_2025 = 89648\\ntax_provision_2025 = 19723\\nnet_income_2025 = 69925\\ndiluted_shares_2025 = 42050 # thousands\\n\\n# Balance sheet (Dec 31, 2025) in thousands\\ncash_2025 = 61340\\nsti_2025 = 15000\\nar_2025 = 88412\\ninv_2025 = 142780\\ntotal_current_assets_2025 = 316650\\ntotal_current_liab_2025 = 131935\\ncurrent_lt_debt = 12500\\nlt_debt = 148000\\nequity_2025 = 287400\\n\\n# Balance sheet (Dec 31, 2024) - restated\\ncash_2024 = 48905\\nsti_2024 = 22500\\nar_2024 = 79630\\ninv_2024_restated = 127905 # restated from 131455\\nequity_2024_restated = 248200 - 3550 # = 244650\\n\\n# Cash flow FY2025\\nocf = 112640\\ncapex = 38975\\ncap_software = 4100\\n\\n# Note 7: finance lease obligations $6.4M total, $1.1M current\\nfinance_lease_total = 6400 # thousands\\n\\n# Total debt (rule 3)\\ntotal_debt = current_lt_debt + lt_debt + finance_lease_total\\nprint(f\\\"Total debt: {total_debt}\\\")\\n\\n# Ratios\\ncurrent_ratio = total_current_assets_2025 / total_current_liab_2025\\nquick_ratio = (cash_2025 + sti_2025 + ar_2025) / total_current_liab_2025\\ngross_margin = gross_profit_2025 / net_sales_2025\\noperating_margin = operating_income_2025 / net_sales_2025\\nnet_margin = net_income_2025 / net_sales_2025\\neffective_tax_rate = tax_provision_2025 / income_before_tax_2025\\n\\navg_equity = (equity_2025 + equity_2024_restated) / 2\\nroe = net_income_2025 / avg_equity\\n\\ndebt_to_equity = total_debt / equity_2025\\ninterest_coverage = operating_income_2025 / interest_expense_2025\\n\\nfcf = ocf - capex - cap_software\\nfcf_margin = fcf / net_sales_2025\\n\\navg_inventory = (inv_2025 + inv_2024_restated) / 2\\ninventory_turnover = cost_of_sales_2025 / avg_inventory\\n\\navg_ar = (ar_2025 + ar_2024) / 2\\ndso_days = avg_ar / net_sales_2025 * 365\\n\\nrevenue_growth = net_sales_2025 / net_sales_2024 - 1\\neps_diluted = net_income_2025 / diluted_shares_2025\\n\\nratios = {\\n \\\"current_ratio\\\": round(current_ratio, 6),\\n \\\"quick_ratio\\\": round(quick_ratio, 6),\\n \\\"gross_margin\\\": round(gross_margin, 6),\\n \\\"operating_margin\\\": round(operating_margin, 6),\\n \\\"net_margin\\\": round(net_margin, 6),\\n \\\"effective_tax_rate\\\": round(effective_tax_rate, 6),\\n \\\"roe\\\": round(roe, 6),\\n \\\"total_debt_thousands\\\": total_debt,\\n \\\"debt_to_equity\\\": round(debt_to_equity, 6),\\n \\\"interest_coverage\\\": round(interest_coverage, 6),\\n \\\"fcf_thousands\\\": fcf,\\n \\\"fcf_margin\\\": round(fcf_margin, 6),\\n \\\"inventory_turnover\\\": round(inventory_turnover, 6),\\n \\\"dso_days\\\": round(dso_days, 6),\\n \\\"revenue_growth\\\": round(revenue_growth, 6),\\n \\\"eps_diluted\\\": round(eps_diluted, 6),\\n}\\n\\nfor k, v in ratios.items():\\n print(f\\\"{k}: {v}\\\")\\n\\nwith open(\\\"ratios.json\\\", \\\"w\\\") as f:\\n json.dump(ratios, f, indent=2)\\nEOF\\npython3 /tmp/compute.py\"}"
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"turn": 2,
"tool": "run_shell",
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"command": "cat << 'EOF' > /tmp/compute.py\nimport json\n\n# Income statement (FY2025, FY2024) in thousands\nnet_sales_2025 = 842615\nnet_sales_2024 = 771302\ncost_of_sales_2025 = 503977\ngross_profit_2025 = 338638\noperating_income_2025 = 98282\ninterest_expense_2025 = 9874\nincome_before_tax_2025 = 89648\ntax_provision_2025 = 19723\nnet_income_2025 = 69925\ndiluted_shares_2025 = 42050 # thousands\n\n# Balance sheet (Dec 31, 2025) in thousands\ncash_2025 = 61340\nsti_2025 = 15000\nar_2025 = 88412\ninv_2025 = 142780\ntotal_current_assets_2025 = 316650\ntotal_current_liab_2025 = 131935\ncurrent_lt_debt = 12500\nlt_debt = 148000\nequity_2025 = 287400\n\n# Balance sheet (Dec 31, 2024) - restated\ncash_2024 = 48905\nsti_2024 = 22500\nar_2024 = 79630\ninv_2024_restated = 127905 # restated from 131455\nequity_2024_restated = 248200 - 3550 # = 244650\n\n# Cash flow FY2025\nocf = 112640\ncapex = 38975\ncap_software = 4100\n\n# Note 7: finance lease obligations $6.4M total, $1.1M current\nfinance_lease_total = 6400 # thousands\n\n# Total debt (rule 3)\ntotal_debt = current_lt_debt + lt_debt + finance_lease_total\nprint(f\"Total debt: {total_debt}\")\n\n# Ratios\ncurrent_ratio = total_current_assets_2025 / total_current_liab_2025\nquick_ratio = (cash_2025 + sti_2025 + ar_2025) / total_current_liab_2025\ngross_margin = gross_profit_2025 / net_sales_2025\noperating_margin = operating_income_2025 / net_sales_2025\nnet_margin = net_income_2025 / net_sales_2025\neffective_tax_rate = tax_provision_2025 / income_before_tax_2025\n\navg_equity = (equity_2025 + equity_2024_restated) / 2\nroe = net_income_2025 / avg_equity\n\ndebt_to_equity = total_debt / equity_2025\ninterest_coverage = operating_income_2025 / interest_expense_2025\n\nfcf = ocf - capex - cap_software\nfcf_margin = fcf / net_sales_2025\n\navg_inventory = (inv_2025 + inv_2024_restated) / 2\ninventory_turnover = cost_of_sales_2025 / avg_inventory\n\navg_ar = (ar_2025 + ar_2024) / 2\ndso_days = avg_ar / net_sales_2025 * 365\n\nrevenue_growth = net_sales_2025 / net_sales_2024 - 1\neps_diluted = net_income_2025 / diluted_shares_2025\n\nratios = {\n \"current_ratio\": round(current_ratio, 6),\n \"quick_ratio\": round(quick_ratio, 6),\n \"gross_margin\": round(gross_margin, 6),\n \"operating_margin\": round(operating_margin, 6),\n \"net_margin\": round(net_margin, 6),\n \"effective_tax_rate\": round(effective_tax_rate, 6),\n \"roe\": round(roe, 6),\n \"total_debt_thousands\": total_debt,\n \"debt_to_equity\": round(debt_to_equity, 6),\n \"interest_coverage\": round(interest_coverage, 6),\n \"fcf_thousands\": fcf,\n \"fcf_margin\": round(fcf_margin, 6),\n \"inventory_turnover\": round(inventory_turnover, 6),\n \"dso_days\": round(dso_days, 6),\n \"revenue_growth\": round(revenue_growth, 6),\n \"eps_diluted\": round(eps_diluted, 6),\n}\n\nfor k, v in ratios.items():\n print(f\"{k}: {v}\")\n\nwith open(\"ratios.json\", \"w\") as f:\n json.dump(ratios, f, indent=2)\nEOF\npython3 /tmp/compute.py"
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"result": "exit=0\nstdout:\nTotal debt: 166900\ncurrent_ratio: 2.400045\nquick_ratio: 1.248736\ngross_margin: 0.401889\noperating_margin: 0.116639\nnet_margin: 0.082986\neffective_tax_rate: 0.220005\nroe: 0.262851\ntotal_debt_thousands: 166900\ndebt_to_equity: 0.580724\ninterest_coverage: 9.953616\nfcf_thousands: 69565\nfcf_margin: 0.082558\ninventory_turnover: 3.723716\ndso_days: 36.395821\nrevenue_growth: 0.092458\neps_diluted: 1.662901\n\nstderr:\n"
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{
"turn": 3,
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"reasoning_content": "Let me verify each calculation:\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 = 36.396 \u2713\n15. **revenue_growth** = 842,615 / 771,302 - 1 = 0.0925 \u2713\n16. **eps_diluted** = 69,925 / 42,050 = 1.6629 \u2713\n\nAll looks good. Let me verify the file was written.",
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{
"turn": 3,
"tool": "read_file",
"args": {
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"result": "{\n \"current_ratio\": 2.400045,\n \"quick_ratio\": 1.248736,\n \"gross_margin\": 0.401889,\n \"operating_margin\": 0.116639,\n \"net_margin\": 0.082986,\n \"effective_tax_rate\": 0.220005,\n \"roe\": 0.262851,\n \"total_debt_thousands\": 166900,\n \"debt_to_equity\": 0.580724,\n \"interest_coverage\": 9.953616,\n \"fcf_thousands\": 69565,\n \"fcf_margin\": 0.082558,\n \"inventory_turnover\": 3.723716,\n \"dso_days\": 36.395821,\n \"revenue_growth\": 0.092458,\n \"eps_diluted\": 1.662901\n}"
},
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"turn": 4,
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"content": "All 16 ratios computed and written to `ratios.json`. Key calculations:\n\n- **Total debt** = 12,500 (current LT debt) + 148,000 (LT debt) + 6,400 (finance leases from Note 7, converted from $6.4M) = **166,900**\n- **Restated FY2024 inventory** = 127,905 (used for inventory turnover average)\n- **Restated FY2024 equity** = 248,200 \u2212 3,550 = 244,650 (used for ROE average)\n- **Free cash flow** = 112,640 \u2212 38,975 \u2212 4,100 = **69,565**\n- **EPS diluted** = 69,925 / 42,050 = **1.6629**",
"reasoning_content": "Let me verify each calculation carefully:\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 = 0.082986 \u2713\n6. **effective_tax_rate** = 19,723 / 89,648 = 0.220005 \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 = 0.580724 \u2713\n10. **interest_coverage** = 98,282 / 9,874 = 9.953616 \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 = 3.723716 \u2713\n14. **dso_days** = ((88,412 + 79,630) / 2) / 842,615 * 365 = 84,021 / 842,615 * 365 = 36.395821 \u2713\n15. **revenue_growth** = 842,615 / 771,302 - 1 = 0.092458 \u2713\n16. **eps_diluted** = 69,925 / 42,050 = 1.662901 \u2713\n\nAll calculations look correct. The file has been written successfully.",
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