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Fifth District Bancorp, Inc.: filings

Every Fifth District Bancorp, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 10 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-Q2026-08-10fiscal Q2 202628790001104659-26-093464
10-Q2026-05-12fiscal Q1 202628590001104659-26-059501
10-K2026-03-24fiscal FY 202533670001104659-26-033945
10-Q2025-11-10fiscal Q3 202527770001104659-25-109288
10-Q2025-08-12fiscal Q2 202527670001558370-25-011234
10-Q2025-05-13fiscal Q1 202527520001558370-25-007593
10-K2025-03-26fiscal FY 202433610001558370-25-003713
10-Q2024-11-14fiscal Q3 202427660001558370-24-015737
10-Q2024-08-14fiscal Q2 202420530001558370-24-012255
10-Q2024-06-24fiscal Q1 202419420001558370-24-009435

Inspect the source

Entity
Fifth District Bancorp, Inc. / CIK 0002012726
Captured
2026-09-21T17:38:54.217Z
SEC response SHA-256
d0322a86256fda1a9208f19505923ba8c8fcdb8168e1f242fe45d1220edf6d77

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/0002012726.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"])))