QuarterCall

Public data, no signup

The Call Report record, made usable.

QuarterCall is the data and analysis spine behind FINASENSE. Every NCUA 5300 filing we hold — amendments resolved, account codes mapped across series breaks — published as Parquet you can query directly from your own machine.

Cycles held in 2026: Q1 and Q2 2026
Cycles held this year. newest

Credit unions in 2026Q2

4,300

Effectively the whole federally insured system, in one file you can read from your laptop.

5,339
filings archived
16
quarterly cycles
415
amendments resolved

Read live from the published manifest. Newest filing seen 2026-08-23.

Check it yourself

No account, no API key, no rate limit. Paste this into DuckDB and read the current cycle straight off the wire.

-- how many credit unions filed for the current cycle?
SELECT count(DISTINCT cu_number)
FROM   read_parquet(
  'https://data.quartercall.com/curated/accounts/quarter=2026Q2/data.parquet');

Partitioned by cycle and sorted by charter number, so a query for one credit union reads about a megabyte of a twenty-four megabyte file rather than all of it. The manifest lists every cycle and where it lives.

Why raw Call Report data is hard

The filings are public. Making ten years of them comparable is the work.

Account codes move

NCUA retires, renames and re-scopes account codes between cycles. Join on the code and a trend line silently breaks at the seam. We resolve each code to the interval of cycles it actually means the same thing across, so a series is a series.

Amendments replace at source

When a credit union amends a filing, NCUA serves the new version and the old one is gone — no endpoint returns it. We keep every version we ever collected, publish the newest per credit union and cycle, and retain the superseded ones. That archive is the only record they existed.

Absent is not zero

A credit union that did not report a line is not a credit union that reported nothing. Values stay null rather than collapsing to zero, and ratios keep eight decimal places — enough that a net-worth ratio is the figure filed, not a rounding of it.

Built on this data

FINASENSE is quarterly, CAMELS-aligned analysis of the credit union system — the interpretation layer that turns this record into something a board can read. Same data, explained.

Read FINASENSE