# Key Metrics

`GET /v1/metrics/{ticker}`

Full key-metrics table across reporting periods.

A time series of fundamentals: columns are reporting periods (TTM plus fiscal years), rows are metrics (revenue, EBITDA, margins, valuation multiples). Each row carries a unit so you can format USD vs. percentage vs. multiple.

Authentication: `Authorization: Bearer <API key>`. As-reported SEC fundamentals, quotes, valuation and screener.

## Path parameters

| Name | Type | Required | Default | Description |
| --- | --- | --- | --- | --- |
| `ticker` | string | yes | — | US-listed ticker symbol (1–12 characters, case-insensitive). |

## Request

```bash
curl "https://app.akyla.ai/v1/metrics/AAPL" \
  -H "Authorization: Bearer $AKYLA_API_KEY"
```

## Response

`200 OK` · `application/json`

| Attribute | Type | Description |
| --- | --- | --- |
| `data.columns[]` | object[] | Period columns: { header, period_end, is_ttm }. |
| `data.rows[]` | object[] | Metric rows: { label, values[], unit }. |
| `data.rows[].unit` | string | "usd" \| "pct" \| "mult". |
| `data.latest` | object | Most-recent column’s computed metrics. |

## Example response

```json
{
  "data": {
    "columns": [
      {
        "header": "TTM",
        "period_end": "2026-03-31",
        "is_ttm": true
      },
      {
        "header": "FY 2025",
        "period_end": "2025-09-30",
        "is_ttm": false
      }
    ],
    "rows": [
      {
        "label": "Revenue",
        "values": [
          408625,
          391035
        ],
        "unit": "usd"
      },
      {
        "label": "EBITDA Margin",
        "values": [
          0.3387,
          0.3361
        ],
        "unit": "pct"
      },
      {
        "label": "EV / EBITDA",
        "values": [
          30.2,
          29.1
        ],
        "unit": "mult"
      }
    ]
  },
  "meta": {
    "ticker": "AAPL",
    "source": "SEC XBRL (as-reported)",
    "api_version": "v1",
    "generated_at": "2026-06-27T15:24:00.000Z"
  }
}
```

Part of the Financial Data API — full reference: https://app.akyla.ai/docs (Markdown: https://app.akyla.ai/docs.md).