Splits

Retrieve stock split information for selected company over the latest 5 years.

GET/3.0/payouts/splits

Description

This endpoint provides comprehensive stock split data for all companies in the market covering the last 5 years. It includes split ratios, ex-dates, and implementation dates, useful for historical price adjustments and understanding capital structure changes.

Request

Authentication

• Type: Bearer Token
• Required: Yes

Parameters

Name	Type	Required	Description	Example
symbol	string	Yes	Stock symbol/ticker code	WAFI

Response

Success Response (200)

{
  "status": "ok",
  "message": "",
  "data": [
    {
      "id": "WAFI_20241115",
      "symbol": "WAFI",
      "title": "Dividend Announcement",
      "date": "2024-11-15",
      "ex_date": "2024-11-10",
      "book_closure_from": "2024-11-12",
      "book_closure_to": "2024-11-14",
      "entitlement_date": "2024-11-09",
      "split_num": 0,
      "split_den": 0
    }
  ]
}

Response Fields

Field	Type	Description
id	string	Unique payout record identifier
symbol	string	Stock symbol/ticker code
title	string	Payout announcement title
date	string	Announcement/publication date (YYYY-MM-DD)
ex_date	string	Ex-date for the payout
book_closure_from	string	Book closure start date
book_closure_to	string	Book closure end date
entitlement_date	string	Entitlement date
split_num	integer	Stock split numerator
split_den	integer	Stock split denominator

Error Responses

For detailed Common Error responses, see the Error Handling.

Missing Symbol (200)

{
  "status": "error",
  "message": "'symbol' parameter not provided"
}

Examples

Get Stock Splits

curl -X GET "https://csapis.com/3.0/payouts/splits?symbol=WAFI" \
  -H "Authorization: Bearer YOUR_API_TOKEN"

Use Cases

• Historical Price Adjustment: Adjust historical prices for stock splits
• Capital Structure Analysis: Track changes in share capital structure
• Ex-Date Planning: Plan portfolio management around split dates
• Earnings Per Share Adjustment: Adjust EPS calculations for splits
• Performance Analysis: Normalize performance across split events
• Data Reconciliation: Verify historical price data adjustments