cost_of_revenue
Cost of goods sold for the quarter.
At a glance
| Type | bigint |
| Group | Fundamentals |
| Category | Income statement |
| Unit | USD |
| Update cadence | post-close daily |
| Intervals | 1d |
| Universe | all tickers |
| History | full · since 2009 |
| Nullable | yes — NULL where not applicable |
Income-statement lines as reported, EPS, and their growth rates.
Query it
Every applicable form factor, grouped by endpoint family. Swap YOUR_KEY for the value from /dashboard/keys. Response payloads are real captures, sampled 2026-08-18 and trimmed — your run's values and dates will differ.
Use signals /v2/signals/{signal}
One signal across the market: who matches now, who matched then, and a push when someone starts. Docs →
curl -G "https://api.tickerbot.io/v2/signals/cost_of_revenue" \
--data-urlencode "condition=> 12570000000" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-08-18T00:23:11.296Z",
"signal": "cost_of_revenue",
"condition": "> 12570000000",
"universe": null,
"count": 2,
"results": [
{
"ticker": "WMT",
"name": "Walmart Inc. Common Stock",
"value": 133058000000
},
{
"ticker": "MCK",
"name": "McKesson Corporation",
"value": 101695000000
}
]
}curl -G "https://api.tickerbot.io/v2/signals/cost_of_revenue" \
--data-urlencode "condition=> 12570000000" \
-d "asof=2026-05-20" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-05-20",
"signal": "cost_of_revenue",
"condition": "> 12570000000",
"universe": null,
"count": 2,
"results": [
{
"ticker": "WMT",
"name": "Walmart Inc. Common Stock",
"value": 134706000000
},
{
"ticker": "MCK",
"name": "McKesson Corporation",
"value": 99608000000
}
]
}curl -X POST "https://api.tickerbot.io/v2/signals/cost_of_revenue/subscribe" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_KEY" \
-d '{"condition": "> 12570000000", "target_url": "https://example.com/hooks/tickerbot"}'Returns 201 with the created webhook — the same shape as GET /v2/webhooks/{id}, plus a one-time signing_secret for HMAC verification.
Use scan /v2/scan
The whole market through a WHERE clause — this signal composed freely with any other column. Docs →
curl -G "https://api.tickerbot.io/v2/scan" \
--data-urlencode "q=cost_of_revenue IS NOT NULL" \
-d "order=cost_of_revenue" -d "columns=cost_of_revenue" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-08-18T00:23:14.190Z",
"query": {
"q": "cost_of_revenue IS NOT NULL",
"limit": 2,
"order": "cost_of_revenue",
"dir": "desc",
"fields": [
"cost_of_revenue"
],
"full": false,
"universe": null,
"asset_class": null
},
"count": 2,
"results": [
{
"ticker": "WMT",
"name": "Walmart Inc. Common Stock",
"asset_class": "stocks",
"asset_type": "CS",
"price": 114.35,
"day_change_pct": -0.008,
"gap_pct": -0.0082,
"relative_volume": 0.6696,
"market_cap": 917327784196,
"cost_of_revenue": 133058000000
},
{
"ticker": "MCK",
"name": "McKesson Corporation",
"asset_class": "stocks",
"asset_type": "CS",
"price": 866.501,
"day_change_pct": -0.0029,
"gap_pct": -0.0109,
"relative_volume": null,
"market_cap": 101317025447,
"cost_of_revenue": 101695000000
}
]
}curl -G "https://api.tickerbot.io/v2/scan" \
--data-urlencode "q=cost_of_revenue IS NOT NULL" \
-d "order=cost_of_revenue" -d "columns=cost_of_revenue" \
-d "asof=2026-05-20" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-05-20",
"query": {
"q": "cost_of_revenue IS NOT NULL",
"asof": "2026-05-20",
"interval": "auto",
"limit": 2,
"order": "cost_of_revenue",
"dir": "desc",
"fields": [
"cost_of_revenue"
],
"full": false,
"universe": null,
"asset_class": null
},
"count": 2,
"results": [
{
"ticker": "WMT",
"name": "Walmart Inc. Common Stock",
"asset_class": "stocks",
"asset_type": "CS",
"price": 130.85,
"day_change_pct": -2.496274217585689,
"gap_pct": -0.9649776453055049,
"relative_volume": 1.6940623942312982,
"market_cap": 1048239350000,
"cost_of_revenue": 134706000000
},
{
"ticker": "MCK",
"name": "McKesson Corporation",
"asset_class": "stocks",
"asset_type": "CS",
"price": 754.68,
"day_change_pct": -0.9463308351599361,
"gap_pct": -0.08662667839188967,
"relative_volume": 1.0376770236113662,
"market_cap": 93882192000,
"cost_of_revenue": 99608000000
}
]
}curl -X POST "https://api.tickerbot.io/v2/scan/subscribe" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_KEY" \
-d '{"q": "cost_of_revenue > 12570000000", "target_url": "https://example.com/hooks/tickerbot"}'Returns 201 with the created webhook object; deliveries carry the tickers matching the condition at each evaluation.
Use series /v2/series
Its history over time, on one aligned grid. Docs →
curl "https://api.tickerbot.io/v2/series?tickers=AAPL,MSFT&columns=close,cost_of_revenue" \
-H "Authorization: Bearer YOUR_KEY"{
"as_of": "2026-08-18T00:23:17.275Z",
"interval": "1d",
"tickers": [
"AAPL",
"MSFT"
],
"columns": [
"close",
"cost_of_revenue"
],
"count": 6,
"series": {
"AAPL": [
{
"t": "2026-08-12",
"close": 302.25,
"cost_of_revenue": 56403000000
},
{
"t": "2026-08-13",
"close": 305.26,
"cost_of_revenue": 56403000000
},
{
"t": "2026-08-14",
"close": 305.93,
"cost_of_revenue": 56403000000
}
],
"MSFT": [
{
"t": "2026-08-12",
"close": 492.43,
"cost_of_revenue": 29525000000
},
{
"t": "2026-08-13",
"close": 496.88,
"cost_of_revenue": 29525000000
},
{
"t": "2026-08-14",
"close": 495.4,
"cost_of_revenue": 29525000000
}
]
}
}Same grammar on scan, series, and webhooks; state reads take ?asof= for point-in-time answers.