UNITED COMMUNITY BANKS, INC.: retained earnings or deficit

What this measure means

Accumulated undistributed earnings or deficit at the reporting date. This balance is not cash available for distribution.

Exact concept: us-gaap:RetainedEarningsAccumulatedDeficit. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

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

Inspect the source

Entity

UNITED COMMUNITY BANKS, INC. / CIK 0000857855

Captured

2026-09-19T15:10:31.175Z

SEC response SHA-256

2f7c04eee591db922d5b89bfeac5ef6054cab4c0ee1b98aa3ce299109e4d240c

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/0000857855.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"])))