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Bank Loan Portfolio

Public

Single-bank loan composition, CRE/C&D concentration vs capital, and an asset-quality trend.

About this dataset

Bank Loan Portfolio is a Public dataset in the Banks group of the BankRegReports Data API. The response carries 3 documented fields, sourced from FFIEC Call Report (Schedule RC-C).

Single-bank loan composition, CRE/C&D concentration vs capital (with the 300%/100% OCC-FDIC guidance thresholds), and an asset-quality trend (newest first). Dollar fields are in thousands of US dollars; ratio fields are percent.

Endpoint

GET /api/v1/banks/{rssd_id}/loan-portfolio/

Parameters

Name Required Description
rssd_id required Federal Reserve RSSD id. e.g. 852218
quarters optional Number of trend quarters (1-40, default 8). e.g. 8

Response fields

Field Type Description
bank object
concentration object
trend array of object

Example request

curl "https://api.bankregreports.com/api/v1/banks/852218/loan-portfolio/" \
  -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": [
    {
      "bank": "object",
      "concentration": "object",
      "trend": "array of object"
    }
  ],
  "meta": { ... }
}

When to use it

Bank Loan Portfolio 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 loan_portfolio 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

  • Bank Directory: Directory of all FDIC-insured banks with identity + headline figures.
  • Bank Snapshot: Latest filed-quarter snapshot for one bank: balance sheet, capital, ratios.
  • 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.loan_portfolio(rssd_id=rssd_id)
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