About this dataset
Bank Deposit Trends is a Public dataset in the Banks group of the BankRegReports Data API. The response carries 4 documented fields, sourced from FFIEC Call Report (Schedule RC-E).
Time-series companion to /banks/{rssd_id}/deposits/. Returns the multi-quarter deposit / funding breakdown (newest first) plus current cost-of-deposits and deposit-growth context.
Endpoint
GET /api/v1/banks/{rssd_id}/deposits/trends/ Parameters
| Name | Required | Description |
|---|---|---|
| rssd_id | required | Federal Reserve RSSD id. e.g. 852218 |
| quarters | optional | Number of quarters (1-80, default 20). e.g. 20 |
Response fields
| Field | Type | Description |
|---|---|---|
| points | array of object | |
| cost_of_ib_deposits | number (double), nullable | Cost of Deposits (percent). Interest expense on interest-bearing deposits as a percentage of average interest-bearing deposits. |
| deposit_growth_yoy | number (double), nullable | Total Deposit Growth (YoY) (percent) |
| deposit_growth_qoq_ann | number (double), nullable |
Example request
curl "https://api.bankregreports.com/api/v1/banks/852218/deposits/trends/" \ -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": [
{
"points": "array of object",
"cost_of_ib_deposits": "number (double)",
"deposit_growth_yoy": "number (double)",
"deposit_growth_qoq_ann": "number (double)"
}
],
"meta": { ... }
} When to use it
Bank Deposit Trends 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 deposits_trends 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.dataset("bank_deposits_trends", rssd_id=rssd_id)