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Colony Bankcorp Inc: total liabilities

Colony Bankcorp total liabilities: $3.36 billion at 2025-12-31, up 18.7% on the year. 8 values since 2018 from SEC filings, each linked to its filing.

All Colony Bankcorp Inc financial histories

At a glance

Colony Bankcorp reported total liabilities of $3.36 billion at 2025-12-31, up 18.7% from $2.83 billion a year earlier. From 2018 to 2025 it grew at a compound 16.5% a year, from $1.16 billion to $3.36 billion. Across the last five reported years it ranged from $2.47 billion (2021-12-31) to $3.36 billion (2025-12-31). That was 89.9% of total assets ($3.74 billion) at the same date.

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.

Exact concept: us-gaap:Liabilities. 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 2018-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Total liabilities in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2025-12-313,359,481,000USD2026-03-1310-K · 0000711669-26-000007 SEC
-2024-12-312,831,107,000USD2026-03-1310-K · 0000711669-26-000007 SEC
-2023-12-312,798,487,000USD2025-03-1410-K · 0000711669-25-000046 SEC
-2022-12-312,706,302,000USD2024-03-1410-K · 0000711669-24-000046 SEC
-2021-12-312,474,008,000USD2023-03-1610-K · 0000711669-23-000041 SEC
-2020-12-311,619,486,000USD2022-03-1810-K · 0000711669-22-000057 SEC
-2019-12-311,384,807,000USD2021-03-2310-K · 0000711669-21-000037 SEC
-2018-12-311,156,186,000USD2020-03-3010-K · 0001437749-20-006546 SEC

Related COLONY BANKCORP INC histories

All 42 Colony Bankcorp histories

Inspect the source

Entity
COLONY BANKCORP INC / CIK 0000711669
Captured
SEC response SHA-256
9bf3b5ce0d5dbe83e2245d6b8e46ddfe1b1726c7e2b2ab852bf4f0b2df729722

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000711669.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"])))