FIRST NORTHERN COMMUNITY BANCORP: net income or loss

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

Exact concept: us-gaap:NetIncomeLoss. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Related financial histories

• FIRST NORTHERN COMMUNITY BANCORP: total assets
• FIRST NORTHERN COMMUNITY BANCORP: total liabilities
• FIRST NORTHERN COMMUNITY BANCORP: stockholders equity
• FIRST NORTHERN COMMUNITY BANCORP: cash and cash equivalents
• FIRST NORTHERN COMMUNITY BANCORP: operating cash flow
• FIRST NORTHERN COMMUNITY BANCORP: capital expenditure payments
• FIRST NORTHERN COMMUNITY BANCORP: financing cash flow
• FIRST NORTHERN COMMUNITY BANCORP: investing cash flow
• FIRST NORTHERN COMMUNITY BANCORP: retained earnings or deficit
• FIRST NORTHERN COMMUNITY BANCORP: basic weighted-average shares
• FIRST NORTHERN COMMUNITY BANCORP: diluted weighted-average shares
• FIRST NORTHERN COMMUNITY BANCORP: basic earnings per share
• FIRST NORTHERN COMMUNITY BANCORP: diluted earnings per share
• FIRST NORTHERN COMMUNITY BANCORP: income tax expense or benefit
• FIRST NORTHERN COMMUNITY BANCORP: net property, plant and equipment
• FIRST NORTHERN COMMUNITY BANCORP: share-based compensation expense
• FIRST NORTHERN COMMUNITY BANCORP: interest expense
• FIRST NORTHERN COMMUNITY BANCORP: net finite-lived intangible assets
• FIRST NORTHERN COMMUNITY BANCORP: common-stock repurchase payments

Inspect the source

Entity

FIRST NORTHERN COMMUNITY BANCORP / CIK 0001114927

Captured

2026-09-20T05:24:24.459Z

SEC response SHA-256

10d6c11dcd51284a6de8a3883f8e190b77c07d2ad974c5d20c9e0c5d2ec3b05c

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/0001114927.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"])))