First United Corporation: 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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• First United Corporation: total assets
• First United Corporation: total liabilities
• First United Corporation: stockholders equity
• First United Corporation: cash and cash equivalents
• First United Corporation: operating cash flow
• First United Corporation: capital expenditure payments
• First United Corporation: contract revenue excluding tax
• First United Corporation: financing cash flow
• First United Corporation: investing cash flow
• First United Corporation: retained earnings or deficit
• First United Corporation: basic weighted-average shares
• First United Corporation: diluted weighted-average shares
• First United Corporation: basic earnings per share
• First United Corporation: diluted earnings per share
• First United Corporation: income tax expense or benefit
• First United Corporation: net property, plant and equipment
• First United Corporation: share-based compensation expense
• First United Corporation: interest expense
• First United Corporation: goodwill carrying amount
• First United Corporation: net finite-lived intangible assets
• First United Corporation: common-stock repurchase payments

Inspect the source

Entity

First United Corporation / CIK 0000763907

Captured

2026-09-19T15:02:28.249Z

SEC response SHA-256

d2ee1b00beadc12e4fed1ee7923f77e9f1f1e19bba080c9e4b8b7dcd6a2cd719

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/0000763907.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"])))