## Get Instrument Events

`v1.instrument_data.get_instrument_events(InstrumentIDOrSymbolinstrument_id, InstrumentDataGetInstrumentEventsParams**kwargs)  -> InstrumentDataGetInstrumentEventsResponse`

**get** `/v1/instruments/{instrument_id}/events`

Retrieves corporate events (dividends, splits, etc.) for an instrument, grouped by event type.

Date range defaults:

- `from_date`: today - 365 days
- `to_date`: today + 60 days

### Parameters

- `instrument_id: InstrumentIDOrSymbol`

  OEMS instrument UUID

- `from_date: Optional[str]`

  The start date for the query range, inclusive (YYYY-MM-DD).

- `to_date: Optional[str]`

  The end date for the query range, inclusive (YYYY-MM-DD).

### Returns

- `class InstrumentDataGetInstrumentEventsResponse: …`

  - `data: InstrumentEventsData`

    Grouped instrument events by type

    - `dividends: List[InstrumentDividendEvent]`

      Dividend distribution events

      - `adjusted_dividend_amount: str`

        The adjusted dividend amount accounting for any splits.

      - `ex_date: date`

        The day the stock starts trading without the right to receive that dividend.

      - `declaration_date: Optional[date]`

        The declaration date of the dividend

      - `dividend_amount: Optional[str]`

        The dividend amount per share.

      - `dividend_yield: Optional[str]`

        The dividend yield as a percentage of the stock price.

      - `frequency: Optional[str]`

        The frequency of the dividend payments (e.g., "Quarterly", "Annual").

      - `payment_date: Optional[date]`

        The payment date is the date on which a declared stock dividend is scheduled to be paid.

      - `record_date: Optional[date]`

        The record date, set by a company's board of directors, is when a
        company compiles a list of shareholders of the stock for which it has declared a dividend.

    - `earnings: List[InstrumentEarnings]`

      Earnings announcement events

      - `date: date`

        The date when the earnings report was published

      - `eps_actual: Optional[str]`

        The actual earnings per share (EPS) for the period

      - `eps_estimate: Optional[str]`

        The estimated earnings per share (EPS) for the period

      - `eps_surprise_percent: Optional[str]`

        The percentage difference between actual and estimated EPS

      - `revenue_actual: Optional[str]`

        The actual total revenue for the period

      - `revenue_estimate: Optional[str]`

        The estimated total revenue for the period

      - `revenue_surprise_percent: Optional[str]`

        The percentage difference between actual and estimated revenue

    - `instrument_id: str`

      OEMS instrument UUID from the request

    - `splits: List[InstrumentSplitEvent]`

      Stock split events

      - `date: date`

        The date of the stock split

      - `denominator: str`

        The denominator of the split ratio

      - `numerator: str`

        The numerator of the split ratio

      - `split_type: str`

        The type of stock split (e.g., "stock-split", "stock-dividend", "bonus-issue")

    - `reporting_currency: Optional[str]`

      The currency used for reporting financial data

### Example

```python
from clear_street import ClearStreet

client = ClearStreet(
    api_key="My API Key",
)
response = client.v1.instrument_data.get_instrument_events(
    instrument_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)
print(response)
```

#### Response

```json
{
  "data": {
    "dividends": [
      {
        "adjusted_dividend_amount": "0.25",
        "declaration_date": "2024-10-31",
        "dividend_amount": "0.25",
        "dividend_yield": "0.44",
        "ex_date": "2024-11-08",
        "frequency": "Quarterly",
        "payment_date": "2024-11-14",
        "record_date": "2024-11-11"
      }
    ],
    "earnings": [
      {
        "date": "2024-10-31",
        "eps_actual": "1.64",
        "eps_estimate": "1.60",
        "eps_surprise_percent": "2.5",
        "revenue_actual": "94930000000",
        "revenue_estimate": "94500000000",
        "revenue_surprise_percent": "0.45"
      }
    ],
    "instrument_id": "a1a2a3a4-b1b2-c1c2-d1d2-d3d4d5d6d7d8",
    "reporting_currency": "USD",
    "splits": [
      {
        "date": "2020-08-31",
        "denominator": "1",
        "numerator": "4",
        "split_type": "stock-split"
      }
    ]
  },
  "error": null,
  "metadata": {
    "request_id": "0f1a2b3c-4d5e-6789-8a7b-6c5d4e3f2a1b"
  }
}
```