About this dataset
Peer Groups is a Public dataset in the Industry & Macro group of the BankRegReports Data API.
Industry rollup broken down by asset tier: per-tier bank counts, aggregate balances, and average/median CAMELS metrics.
Endpoint
GET /api/v1/industry/peer-groups/ Example request
curl "https://api.bankregreports.com/api/v1/industry/peer-groups/" \ -H "Authorization: Bearer $BANKREG_API_TOKEN"
Responses are JSON in a {"data": ..., "meta": {...}} envelope. Get a token on the setup page.
When to use it
Peer Groups sits in the Industry & Macro 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 peer_groups 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.
Related datasets
- Industry Snapshot: Industry-wide aggregate snapshot.
- Industry Trends: Industry-wide metric trends over time.
- Credit Union Industry Ratios: National credit union ratios by charter type (FICU, FCU, FISCU), quarterly from June 2023.
- OCC Mortgage Servicing Performance: Delinquency, foreclosure and risk-category counts for mortgages serviced by seven large national banks.
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 result = brr.peer_groups()