Monroe Federal Bancorp, Inc.: profit or loss including noncontrolling interests

What this measure means

Net income or loss including the portion attributable to noncontrolling interests. It can differ from the net income attributable to the parent that per-share figures use.

Exact concept: us-gaap:ProfitLoss. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2023-04-01 to 2026-03-31. The SEC response was captured on 2026-09-21.

Reading these values

This selected numerical history matches Net income or loss for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.

Selected filing history

Related financial histories

• Monroe Federal Bancorp, Inc.: total assets
• Monroe Federal Bancorp, Inc.: total liabilities
• Monroe Federal Bancorp, Inc.: stockholders equity
• Monroe Federal Bancorp, Inc.: net income or loss
• Monroe Federal Bancorp, Inc.: operating cash flow
• Monroe Federal Bancorp, Inc.: capital expenditure payments
• Monroe Federal Bancorp, Inc.: financing cash flow
• Monroe Federal Bancorp, Inc.: investing cash flow
• Monroe Federal Bancorp, Inc.: retained earnings or deficit
• Monroe Federal Bancorp, Inc.: income tax expense or benefit
• Monroe Federal Bancorp, Inc.: net property, plant and equipment
• Monroe Federal Bancorp, Inc.: cash including restricted cash
• Monroe Federal Bancorp, Inc.: accumulated other comprehensive income or loss
• Monroe Federal Bancorp, Inc.: gross property, plant and equipment
• Monroe Federal Bancorp, Inc.: accumulated depreciation on property, plant and equipment
• Monroe Federal Bancorp, Inc.: net deferred tax assets
• Monroe Federal Bancorp, Inc.: pre-tax income or loss from continuing operations
• Monroe Federal Bancorp, Inc.: comprehensive income or loss
• Monroe Federal Bancorp, Inc.: current income tax expense or benefit
• Monroe Federal Bancorp, Inc.: deferred income tax expense or benefit
• Monroe Federal Bancorp, Inc.: interest paid, net

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

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

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.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

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"])))