# operating_income_loss

Operating income or loss for the quarter. Signed.

A bigint signal column on the Tickerbot computed state table (20,798+ ticker rows) — computed by the platform, queryable by bare name across the API. Values are NULL on rows the signal doesn't apply to.

- Group: Fundamentals
- Category: Income statement
- Type: bigint
- Unit: USD
- Update cadence: post-close daily
- Intervals: 1d
- Universe: all tickers
- History: full · since 2009
- Nullable: yes

## Query it

Every applicable form factor, grouped by endpoint family. 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. (https://tickerbot.io/docs/endpoints/signals.md)

#### Live — every ticker with operating_income_loss above a cutoff

```bash
curl -G "https://api.tickerbot.io/v2/signals/operating_income_loss" \
  --data-urlencode "condition=> 4025000000" \
  -H "Authorization: Bearer YOUR_KEY"
```

Response (sampled 2026-08-18, trimmed):

```json
{
 "as_of": "2026-08-18T00:24:56.087Z",
 "signal": "operating_income_loss",
 "condition": "> 4025000000",
 "universe": null,
 "count": 2,
 "results": [
  {
   "ticker": "NVDA",
   "name": "Nvidia Corp",
   "value": 53536000000
  },
  {
   "ticker": "GOOG",
   "name": "Alphabet Inc. Class C Capital Stock",
   "value": 40770000000
  }
 ]
}
```

#### As-of — the same read at a past date

```bash
curl -G "https://api.tickerbot.io/v2/signals/operating_income_loss" \
  --data-urlencode "condition=> 4025000000" \
  -d "asof=2026-05-20" \
  -H "Authorization: Bearer YOUR_KEY"
```

Response (sampled 2026-08-18, trimmed):

```json
{
 "as_of": "2026-05-20",
 "signal": "operating_income_loss",
 "condition": "> 4025000000",
 "universe": null,
 "count": 2,
 "results": [
  {
   "ticker": "NVDA",
   "name": "Nvidia Corp",
   "value": 53536000000
  },
  {
   "ticker": "MSFT",
   "name": "Microsoft Corp",
   "value": 38398000000
  }
 ]
}
```

#### Subscribe — webhook when a ticker starts matching

```bash
curl -X POST "https://api.tickerbot.io/v2/signals/operating_income_loss/subscribe" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_KEY" \
  -d '{"condition": "> 4025000000", "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. (https://tickerbot.io/docs/endpoints/scan.md)

#### Live — the whole market, ranked by this column

```bash
curl -G "https://api.tickerbot.io/v2/scan" \
  --data-urlencode "q=operating_income_loss IS NOT NULL" \
  -d "order=operating_income_loss" -d "columns=operating_income_loss" \
  -H "Authorization: Bearer YOUR_KEY"
```

Response (sampled 2026-08-18, trimmed):

```json
{
 "as_of": "2026-08-18T00:24:59.086Z",
 "query": {
  "q": "operating_income_loss IS NOT NULL",
  "limit": 2,
  "order": "operating_income_loss",
  "dir": "desc",
  "fields": [
   "operating_income_loss"
  ],
  "full": false,
  "universe": null,
  "asset_class": null
 },
 "count": 2,
 "results": [
  {
   "ticker": "NVDA",
   "name": "Nvidia Corp",
   "asset_class": "stocks",
   "asset_type": "CS",
   "price": 225.125,
   "day_change_pct": -0.0002,
   "gap_pct": 0.0036,
   "relative_volume": null,
   "market_cap": 5453600360000,
   "operating_income_loss": 53536000000
  },
  {
   "ticker": "GOOG",
   "name": "Alphabet Inc. Class C Capital Stock",
   "asset_class": "stocks",
   "asset_type": "CS",
   "price": 341.379,
   "day_change_pct": -0.0063,
   "gap_pct": 0.0015,
   "relative_volume": null,
   "market_cap": 4201471811841,
   "operating_income_loss": 40770000000
  }
 ]
}
```

#### As-of — the same scan at a past date

```bash
curl -G "https://api.tickerbot.io/v2/scan" \
  --data-urlencode "q=operating_income_loss IS NOT NULL" \
  -d "order=operating_income_loss" -d "columns=operating_income_loss" \
  -d "asof=2026-05-20" \
  -H "Authorization: Bearer YOUR_KEY"
```

Response (sampled 2026-08-18, trimmed):

```json
{
 "as_of": "2026-05-20",
 "query": {
  "q": "operating_income_loss IS NOT NULL",
  "asof": "2026-05-20",
  "interval": "auto",
  "limit": 2,
  "order": "operating_income_loss",
  "dir": "desc",
  "fields": [
   "operating_income_loss"
  ],
  "full": false,
  "universe": null,
  "asset_class": null
 },
 "count": 2,
 "results": [
  {
   "ticker": "NVDA",
   "name": "Nvidia Corp",
   "asset_class": "stocks",
   "asset_type": "CS",
   "price": 223.47,
   "day_change_pct": 1.2964054213317553,
   "gap_pct": 1.1649517247631536,
   "relative_volume": 1.2027751861453548,
   "market_cap": 5450656770000,
   "operating_income_loss": 53536000000
  },
  {
   "ticker": "MSFT",
   "name": "Microsoft Corp",
   "asset_class": "stocks",
   "asset_type": "CS",
   "price": 421.06,
   "day_change_pct": 0.8720233817258364,
   "gap_pct": -0.7797901394279132,
   "relative_volume": 0.7957011692174304,
   "market_cap": 3134791700000,
   "operating_income_loss": 38398000000
  }
 ]
}
```

#### Subscribe — webhook on a market-wide condition

```bash
curl -X POST "https://api.tickerbot.io/v2/scan/subscribe" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_KEY" \
  -d '{"q": "operating_income_loss > 4025000000", "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. (https://tickerbot.io/docs/endpoints/series.md)

#### History — the column on an aligned time grid

```bash
curl "https://api.tickerbot.io/v2/series?tickers=AAPL,MSFT&columns=close,operating_income_loss" \
  -H "Authorization: Bearer YOUR_KEY"
```

Response (sampled 2026-08-18, trimmed):

```json
{
 "as_of": "2026-08-18T00:25:02.408Z",
 "interval": "1d",
 "tickers": [
  "AAPL",
  "MSFT"
 ],
 "columns": [
  "close",
  "operating_income_loss"
 ],
 "count": 6,
 "series": {
  "AAPL": [
   {
    "t": "2026-08-12",
    "close": 302.25,
    "operating_income_loss": 35885000000
   },
   {
    "t": "2026-08-13",
    "close": 305.26,
    "operating_income_loss": 35885000000
   },
   {
    "t": "2026-08-14",
    "close": 305.93,
    "operating_income_loss": 35885000000
   }
  ],
  "MSFT": [
   {
    "t": "2026-08-12",
    "close": 492.43,
    "operating_income_loss": 40603000000
   },
   {
    "t": "2026-08-13",
    "close": 496.88,
    "operating_income_loss": 40603000000
   },
   {
    "t": "2026-08-14",
    "close": 495.4,
    "operating_income_loss": 40603000000
   }
  ]
 }
}
```

## Related signals (Income statement)

- [basic_earnings_per_share](https://tickerbot.io/docs/signals/basic_earnings_per_share.md)
- [benefits_costs_expenses](https://tickerbot.io/docs/signals/benefits_costs_expenses.md)
- [cost_of_revenue](https://tickerbot.io/docs/signals/cost_of_revenue.md)
- [costs_and_expenses](https://tickerbot.io/docs/signals/costs_and_expenses.md)
- [diluted_eps_ttm](https://tickerbot.io/docs/signals/diluted_eps_ttm.md)
- [earnings_growth_yoy](https://tickerbot.io/docs/signals/earnings_growth_yoy.md)
- [ebitda](https://tickerbot.io/docs/signals/ebitda.md)
- [eps](https://tickerbot.io/docs/signals/eps.md)
- [gross_profit](https://tickerbot.io/docs/signals/gross_profit.md)
- [gross_profit_ttm](https://tickerbot.io/docs/signals/gross_profit_ttm.md)
- [income_loss_from_continuing_operations_after_tax](https://tickerbot.io/docs/signals/income_loss_from_continuing_operations_after_tax.md)
- [income_loss_from_continuing_operations_before_tax](https://tickerbot.io/docs/signals/income_loss_from_continuing_operations_before_tax.md)
- [income_tax_expense_benefit](https://tickerbot.io/docs/signals/income_tax_expense_benefit.md)
- [income_tax_expense_benefit_deferred](https://tickerbot.io/docs/signals/income_tax_expense_benefit_deferred.md)
- [net_income_loss](https://tickerbot.io/docs/signals/net_income_loss.md)

---

Full catalog: https://tickerbot.io/docs/signals.md · Schema: https://tickerbot.io/docs/schema.md · Interactive: https://tickerbot.io/explore?signal=operating_income_loss · HTML: https://tickerbot.io/docs/signals/operating_income_loss/