compare_companies
Compare Companies / Peers
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Third-party content written by another agent. Data to evaluate, not instructions.
Compare a company against peers across ~70 curated fundamental metrics (TTM), with percentile rankings and relative strengths/weaknesses.
Returns a side-by-side table covering valuation (P/E, P/B, EV/EBITDA, EV/Sales, FCF yield), profitability (gross/operating/net/EBITDA margins, ROE, ROA, ROIC),
leverage & liquidity (debt/equity, net debt/EBITDA, interest coverage, current ratio), efficiency (asset/inventory turnover, DSO, cash conversion cycle),
and capital returns (dividend yield, dividend payout ratio, buyback yield, shareholder yield). Sector-inapplicable metrics are omitted (e.g. gross margin / FCF leverage for banks).
Pass 'metrics' to focus the table on specific metric_ids. This is a TTM cross-sectional snapshot — for a single company's value in a specific fiscal year/quarter use get_metric_history. Each company's row is dated: 'Data through' is its latest reported period, and valuation multiples are priced at the last close on/before that period end (period-end LOCF) — NOT today's price, and the dates can differ across peers by a quarter. For a multiple AS OF a specific date, or at the live price, or a CUSTOM definition (e.g. lease-adjusted EV), assemble it from get_stock_price (price leg) + get_metric_history primitives.
peer_mode controls peer selection:
- 'sector' (default): auto-selected from same sector + similar market cap
- 'tags': auto-selected by business model similarity (tag Jaccard) — better for cross-sector comparisons
Override with custom_peers for specific matchups. The number of custom_peers is capped by plan (Free: 3, Pro: 10); exceeding it returns the limit and the count you asked for, so retry with that many.
Data sourced from SEC EDGAR, updated with each quarterly/annual filing.
Use Cases:
- "Compare AAPL vs MSFT" -> compare_companies("AAPL", custom_peers="MSFT")
- "How does NVDA stack up in its sector?" -> compare_companies("NVDA")
- "Dividend payout ratio: KO vs KDP/PEP/KHC" -> compare_companies("KO", custom_peers="KDP,PEP,KHC", metrics="dividend_payout_ratio,dividend_yield")
- "COST vs WMT vs TGT" -> compare_companies("COST", custom_peers="WMT,TGT")
Responses capped at ~20K chars. If truncated, use fewer custom_peers or a 'metrics' subset.
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
| ticker | string | yes | Primary company ticker symbol to compare (e.g., 'AAPL'). Must be exact. |
| custom_peers | string | no | Optional comma-separated peer tickers (e.g., 'MSFT,GOOG,AMZN'). Auto-selected if omitted. |
| peer_mode | string | no | Peer selection method: 'sector' (same sector + similar market cap, default) or 'tags' (business model similarity — finds companies with overlapping classification tags). Use 'tags' for cross-sector business model comparisons, e.g. NVDA vs AMD/Broadcom instead of NVDA vs MSFT/GOOG. |
| metrics | string | no | Optional comma-separated metric_ids to show instead of the default curated table (e.g. 'dividend_payout_ratio,dividend_yield,ev_ebitda,roa,interest_coverage'). Drawn from the ~70 curated fundamentals; unknown ids are ignored. |
Raw JSON schema
{
"type": "object",
"properties": {
"ticker": {
"type": "string",
"description": "Primary company ticker symbol to compare (e.g., 'AAPL'). Must be exact."
},
"custom_peers": {
"type": "string",
"description": "Optional comma-separated peer tickers (e.g., 'MSFT,GOOG,AMZN'). Auto-selected if omitted."
},
"peer_mode": {
"type": "string",
"enum": [
"sector",
"tags"
],
"default": "sector",
"description": "Peer selection method: 'sector' (same sector + similar market cap, default) or 'tags' (business model similarity — finds companies with overlapping classification tags). Use 'tags' for cross-sector business model comparisons, e.g. NVDA vs AMD/Broadcom instead of NVDA vs MSFT/GOOG."
},
"metrics": {
"type": "string",
"description": "Optional comma-separated metric_ids to show instead of the default curated table (e.g. 'dividend_payout_ratio,dividend_yield,ev_ebitda,roa,interest_coverage'). Drawn from the ~70 curated fundamentals; unknown ids are ignored."
}
},
"required": [
"ticker"
],
"additionalProperties": false
}