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Columbia Financial, Inc.: filings

Every Columbia Financial, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 36 filings, each linked to its SEC index.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-Q/A2026-06-05fiscal Q1 202628600001723596-26-000025
10-Q2026-05-11fiscal Q1 202628600001723596-26-000020
10-K2026-03-06fiscal FY 202537990001723596-26-000010
10-Q2025-11-07fiscal Q3 202530820001723596-25-000365
10-Q2025-08-08fiscal Q2 202530820001723596-25-000307
10-Q2025-05-09fiscal Q1 202529620001723596-25-000211
10-K2025-03-03fiscal FY 202437990001723596-25-000061
10-Q2024-11-08fiscal Q3 202431840001723596-24-000425
10-Q2024-08-09fiscal Q2 202432880001723596-24-000326
10-Q2024-05-10fiscal Q1 202430640001723596-24-000217
10-K2024-02-29fiscal FY 2023381020001723596-24-000075
10-Q2023-11-09fiscal Q3 202332880001723596-23-000508
10-Q2023-08-09fiscal Q2 202332880001723596-23-000381
10-Q2023-05-10fiscal Q1 202331660001723596-23-000233
10-K2023-03-01fiscal FY 202237990001723596-23-000093
10-Q2022-11-09fiscal Q3 202231860001723596-22-000481
10-Q2022-08-09fiscal Q2 202231860001723596-22-000352
10-Q2022-05-10fiscal Q1 202231660001723596-22-000199
10-K2022-03-01fiscal FY 2021381020001723596-22-000091
10-Q2021-11-09fiscal Q3 202131850001723596-21-000234
10-Q2021-08-09fiscal Q2 202130810001723596-21-000128
10-Q2021-05-10fiscal Q1 202130630001723596-21-000018
10-K2021-03-01fiscal FY 2020381350001723596-21-000011
10-Q2020-11-09fiscal Q3 202032840001723596-20-000033
10-Q2020-08-10fiscal Q2 202031820001723596-20-000025
10-Q2020-05-11fiscal Q1 202029620001723596-20-000015
10-K2020-03-02fiscal FY 2019351460001723596-20-000009
10-Q2019-11-12fiscal Q3 201928780001723596-19-000032
10-Q2019-08-13fiscal Q2 201927760001723596-19-000024
10-Q2019-05-13fiscal Q1 201926520001723596-19-000016
10-K2019-03-29fiscal FY 2018331260001723596-19-000011
10-Q2018-11-14fiscal Q3 201825620001723596-18-000035
10-Q2018-08-14fiscal Q2 201825620001723596-18-000025
10-Q2018-06-15fiscal Q1 201817360001723596-18-000015
10-Q2018-05-14fiscal Q2 201817440001723596-18-000010
10-Q2018-03-23fiscal Q1 201817360001723596-18-000004

1 further filing tags fewer than eight published concepts and has no page.

Inspect the source

Entity
Columbia Financial, Inc. / CIK 0001723596
Captured
2026-09-21T17:25:13.492Z
SEC response SHA-256
b4d2a2e8d30af14dd5058045868d2ad5c8bf2ae849b341663580441b10d158a6

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001723596.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))