GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking off) on Read a synthetic annual-report excerpt and compute financial ratios
OGPT-6.1 Soldefault · thinking off · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-22 · by @bobsiopener
- Estimated cost
- $0.02
- Wall time
- 17s
- 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. Original benchmark task written for usecaserank.com. Headless, offline run on a reproducible fixture. Cost shown is a list-price API-equivalent estimate (run on a ChatGPT subscription, not billed).
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 batch9 case j09-10k-ratio-extraction (offline fixture). Prepared with batch9/prepare.sh on the shared box; only TASK.md + starting files were copied to the agent machine, hidden key/tests stayed on the box. Prompt = TASK.md verbatim on stdin. Flags: --json -s workspace-write --skip-git-repo-check --ephemeral --ignore-user-config --ignore-rules -C <workdir>. Scored on the box with the scout's scorer: `python score.py WORKDIR KEYDIR`. Single run, no retries. User-level AGENTS.md (846 bytes, sha256 83ec4fe50da8) may have been in context; --ignore-user-config does not document excluding it. Serving model not confirmed: requested via -m; the event log does not echo the serving model id. Price source is secondary (pricing.json verification='secondary', https://www.actuia.com/en/news/ai-api-pricing-in-october-2026-050-to-50-for-output/), not an official OpenAI price page. Score: 7/7. Cost is an ESTIMATE: measured tokens x pricing.json list price (ChatGPT plan, nothing billed); input_tokens include cached reads; output_tokens include reasoning tokens. Tool calls 2 (0 failed, recovered). Single run.
Estimated cost List-price estimate; not actually billed.
Metrics
- Estimated cost
- $0.02
- Wall time
- 17s
- Human step-ins
- 0
- Turns
- 1
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| OGPT-6.1 Solopenai/gpt-6.1-soleffort default (no reasoning-effort override) · thinking off | 51,513 | 494 | $0.02 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: GPT-6.1 Sol (openai/gpt-6.1-sol, effort default (no reasoning-effort override) · thinking off) via
Codex CLI 0.163.0 (codex exec --json), 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.
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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
{"type": "thread.started", "thread_id": "01a163f4-2bd9-73c0-bdd2-f599d11edc08"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll read the excerpt and its notes, calculate the ratios, and write `ratios.json`.\n"}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc 'cat annual_report_excerpt.md'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc 'cat annual_report_excerpt.md'", "aggregated_output": "# 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 the Financial Statements (excerpt)\n\n**Note 4 - Restatement of prior-year inventory.** During 2025 the Company identified an overstatement of inventory at one third-party warehouse. The December 31, 2024 inventory balance has been restated from $131,455 thousand to $127,905 thousand, and total stockholders' equity at December 31, 2024 has been reduced by the same $3,550 thousand. FY2024 cost of sales was not affected. Any analysis that uses December 31, 2024 inventory, current assets, total assets or equity should use the restated amounts.\n\n**Note 7 - Debt and leases.** Long-term debt consists of a term loan and senior notes. In addition, the Company has finance lease obligations of **$6.4 million** at December 31, 2025 (of which $1.1 million is current), recorded within accrued liabilities and other long-term liabilities rather than on the debt lines. Operating lease liabilities are not debt for the Company's covenant purposes.\n\n**Note 9 - Income taxes.** The effective tax rate is income tax provision divided by income before income taxes.\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport json\nfrom pathlib import Path\nsales = 842615\nnet_income = 69925\ndebt = 12500 + 148000 + 6400\nfcf = 112640 - 38975 - 4100\nratios = {\n 'current_ratio': 316650 / 131935,\n 'quick_ratio': (61340 + 15000 + 88412) / 131935,\n 'gross_margin': 338638 / sales,\n 'operating_margin': 98282 / sales,\n 'net_margin': net_income / sales,\n 'effective_tax_rate': 19723 / 89648,\n 'roe': net_income / ((287400 + (248200 - 3550)) / 2),\n 'total_debt_thousands': debt,\n 'debt_to_equity': debt / 287400,\n 'interest_coverage': 98282 / 9874,\n 'fcf_thousands': fcf,\n 'fcf_margin': fcf / sales,\n 'inventory_turnover': 503977 / ((142780 + 127905) / 2),\n 'dso_days': ((88412 + 79630) / 2) / sales * 365,\n 'revenue_growth': sales / 771302 - 1,\n 'eps_diluted': net_income / 42050,\n}\npath = Path('ratios.json')\npath.write_text(json.dumps(ratios, indent=2) + '\\\\n')\nassert len(json.loads(path.read_text())) == 16\nprint(path.read_text())\nPY\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport json\nfrom pathlib import Path\nsales = 842615\nnet_income = 69925\ndebt = 12500 + 148000 + 6400\nfcf = 112640 - 38975 - 4100\nratios = {\n 'current_ratio': 316650 / 131935,\n 'quick_ratio': (61340 + 15000 + 88412) / 131935,\n 'gross_margin': 338638 / sales,\n 'operating_margin': 98282 / sales,\n 'net_margin': net_income / sales,\n 'effective_tax_rate': 19723 / 89648,\n 'roe': net_income / ((287400 + (248200 - 3550)) / 2),\n 'total_debt_thousands': debt,\n 'debt_to_equity': debt / 287400,\n 'interest_coverage': 98282 / 9874,\n 'fcf_thousands': fcf,\n 'fcf_margin': fcf / sales,\n 'inventory_turnover': 503977 / ((142780 + 127905) / 2),\n 'dso_days': ((88412 + 79630) / 2) / sales * 365,\n 'revenue_growth': sales / 771302 - 1,\n 'eps_diluted': net_income / 42050,\n}\npath = Path('ratios.json')\npath.write_text(json.dumps(ratios, indent=2) + '\\\\n')\nassert len(json.loads(path.read_text())) == 16\nprint(path.read_text())\nPY\"", "aggregated_output": "{\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,\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}\n\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "agent_message", "text": "Created [ratios.json](ratios.json) with exactly 16 values, using restated FY2024 inventory and equity and converting finance lease obligations to thousands."}}
{"type": "turn.completed", "usage": {"input_tokens": 51513, "cached_input_tokens": 45312, "cache_write_input_tokens": 0, "output_tokens": 494, "reasoning_output_tokens": 0}}