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GREAT SOUTHERN BANCORP, INC.: total liabilities

Total liabilities for GREAT SOUTHERN BANCORP, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All GREAT SOUTHERN BANCORP, INC. financial histories

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 2010-12-31 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
At date2025-12-314,962,480,000USD2026-03-0610-K · 0001104659-26-024659
At date2024-12-315,382,060,000USD2026-03-0610-K · 0001104659-26-024659
At date2023-12-315,240,573,000USD2025-03-0710-K · 0001410578-25-000294
At date2022-12-315,147,615,000USD2024-03-1210-K · 0001410578-24-000178
At date2021-12-314,833,192,000USD2023-03-1310-K · 0001410578-23-000244
At date2020-12-314,896,679,000USD2022-03-0710-K · 0001410578-22-000289
At date2019-12-314,412,006,000USD2021-03-0510-K · 0001104659-21-032781
At date2018-12-314,144,223,000USD2020-03-0610-K · 0000927089-20-000176
At date2017-12-313,942,859,000USD2019-03-0710-K · 0000927089-19-000136
At date2016-12-314,120,857,000USD2018-03-0610-K · 0000927089-18-000121
At date2015-12-313,705,962,000USD2017-03-0310-K · 0000927089-17-000123
At date2014-12-313,531,589,000USD2016-03-0310-K · 0000927089-16-000767
At date2013-12-313,179,552,000USD2015-03-0610-K · 0000927089-15-000185
At date2012-12-313,585,308,000USD2014-03-1010-K · 0000927089-14-000068
At date2011-12-313,465,425,000USD2013-03-1110-K · 0000927089-13-000060
At date2010-12-313,107,496,000USD2012-03-0910-K · 0000927089-12-000031

Related financial histories

Inspect the source

Entity
GREAT SOUTHERN BANCORP, INC. / CIK 0000854560
Captured
2026-09-19T11:14:55.420Z
SEC response SHA-256
e4c7dad0d48b1552d6138a3233508960b1067c8af6f3e522424619a8e23eca50

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.

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

with urlopen("https://canlicapital.com/company-data/0000854560.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"])))