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Peer Set

Public

The peer set for one bank.

About this dataset

Peer Set is a Public dataset in the Banks group of the BankRegReports Data API. The response carries 8 documented fields.

Up to `limit` peer banks (default 10, at most 50): the same asset tier, nearest by total assets nationally, not limited to the bank's state.

Endpoint

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

Parameters

Name Required Description
rssd_id required Federal Reserve RSSD id. e.g. 852218
limit optional Number of peers (default 10). e.g. 10

Response fields

Field Type Description
rssd_id integer RSSD ID (count)
legal_name string Legal Name (text)
hq_city string, nullable Headquarters City (text)
hq_state string, nullable Headquarters State (text)
total_assets number (double), nullable Total Assets (USD thousands)
cet1_ratio number (double), nullable CET1 Capital Ratio (percent). Common Equity Tier 1 capital as a percentage of risk-weighted assets, the strictest measure of bank capital. The prompt corrective action "well capitalized" level is 6.5%; the 4.5% minimum plus the 2.5% conservation buffer is 7.0%, below which dividends and bonuses are limited. FFIEC 031 filers report it as RCFAP793 and FFIEC 041/051 filers as RCOAP793 (standardized approach). A bank under the advanced approaches also reports RCFWP793; the ratio shown is the lower of the two, the binding ratio FDIC publishes. Banks in the community bank leverage ratio framework do not report it.
roa number (double), nullable Return on Assets (percent). Net income, annualized, as a percentage of average total assets. The single most-cited profitability metric. 1.0%+ is strong for national banks; community banks often run 0.8 to 1.2%.
npl_ratio number (double), nullable Non-Performing Loan Ratio (percent). Noncurrent loans (nonaccrual plus 90+ days past due and still accruing) as a percentage of total loans, the FDIC and UBPR definition; consolidated lines for FFIEC 031 filers. Performing modifications to borrowers in financial difficulty are not counted. Lower is better. The Healthy and Watch bands below are BankRegReports screening bands (2% and 5%), not regulatory triggers; no supervisory NPL threshold exists.

Example request

curl "https://api.bankregreports.com/api/v1/banks/852218/peers/" \
  -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",
      "legal_name": "string",
      "hq_city": "string",
      "hq_state": "string",
      "total_assets": "number (double)",
      "cet1_ratio": "number (double)",
      "roa": "number (double)",
      "npl_ratio": "number (double)"
    }
  ],
  "meta": { ... }
}

When to use it

Peer Set 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 peers 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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  • Bank Trends: Quarterly time series of key metrics for one bank.
  • HMDA Mortgage-Lending Book: Per-bank Home Mortgage Disclosure Act book - applications, originations, denials, and USD volumes by activity year and state.

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.peers(rssd_id=rssd_id)
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