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Monroe Federal Bancorp, Inc.: filings

Every Monroe Federal Bancorp, Inc. annual and quarterly report in the SEC record with the published financial measures it tagged, 9 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-Q2026-08-14fiscal Q1 202723470001104659-26-097256
10-K2026-06-25fiscal FY 202630590001104659-26-077799
10-Q2026-02-13fiscal Q3 202623610001104659-26-015293
10-Q2025-11-12fiscal Q2 202621560001104659-25-110447
10-Q2025-08-13fiscal Q1 202621440001558370-25-011402
10-K2025-07-03fiscal FY 202528530001558370-25-009080
10-Q2025-02-14fiscal Q3 202522570001558370-25-001020
10-Q2024-11-14fiscal Q2 202519510001558370-24-015745
10-Q2024-09-23fiscal Q1 202518400001558370-24-012959

Inspect the source

Entity
Monroe Federal Bancorp, Inc. / CIK 0002024899
Captured
2026-09-21T17:27:05.417Z
SEC response SHA-256
bc6487d81ff1b390e28d6a9656cbdea6ae8c4bd8418338e520b9a8d99917e9c6

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/0002024899.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"])))