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FR Y-15 G-SIB Indicators

Public

Y-15 systemic-risk indicators for G-SIB designated banks.

About this dataset

FR Y-15 G-SIB Indicators is a Public dataset in the Banks group of the BankRegReports Data API. The response carries 5 documented fields, sourced from Fed FR Y-15.

Y-15 indicators for the latest available quarter (or specify `report_date=YYYY-MM-DD`). Returns empty array for banks that don't file Y-15 (only ~30 banks do). Caching: 12h.

Endpoint

GET /api/v1/banks/{rssd_id}/fry15/

Parameters

Name Required Description
rssd_id required Federal Reserve RSSD id. e.g. 852218
report_date optional Quarter-end date, YYYY-MM-DD. Default: latest. e.g. 2026-06-30

Response fields

Field Type Description
rssd_id integer, nullable RSSD ID (count)
report_date string (date), nullable Report Date (date)
indicator_code string, nullable
name string, nullable
value_num string (decimal), nullable

Example request

curl "https://api.bankregreports.com/api/v1/banks/852218/fry15/" \
  -H "Authorization: Bearer $BANKREG_API_TOKEN"

Responses are JSON in a {"data": ..., "meta": {...}} envelope. Get a token on the setup page.

Example response shape

A successful call returns HTTP 200 with a JSON body. Each row in data carries the fields below, shown with their documented types rather than sample values. 

{
  "data": [
    {
      "rssd_id": "integer",
      "report_date": "string (date)",
      "indicator_code": "string",
      "name": "string",
      "value_num": "string (decimal)"
    }
  ],
  "meta": { ... }
}

When to use it

FR Y-15 G-SIB Indicators sits in the Banks group of the Data API. Reach for it when your work needs this data straight from the API: it comes back as JSON you can load into a notebook, a spreadsheet or a scheduled pipeline, with the dataset key bank_fry15 naming it the same way in the REST path, the Python SDK and the OpenAPI document.

Access and authentication

This dataset is in the Public tier. Send your API token in the Authorization header as a Bearer token, using a GET request to the endpoint above. The Free plan is the first plan that includes it. Check the plan comparison for request limits, and the data update schedule for when new filings reach the API.

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Keep going

Browse every dataset, follow the setup walkthrough to make a first call, use the Excel add-in for formulas, or connect an assistant through the MCP server.

Python SDK

Install with pip install bankregreports and set BANKREG_API_TOKEN to your key. 

import bankregreports

brr = bankregreports.BankReg()  # reads BANKREG_API_TOKEN
rssd_id = 852218  # JPMorgan Chase Bank, N.A.
result = brr.bank_fry15(rssd_id=rssd_id)
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