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German American Bancorp, Inc.: operating cash flow

Operating cash flow for German American Bancorp, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All German American Bancorp, Inc. financial histories

What this measure means

Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.

Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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 2026-09-19.

Selected filing history

Operating cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31159,316,000USD2026-02-2710-K · 0000714395-26-000011
2024-01-012024-12-3195,764,000USD2026-02-2710-K · 0000714395-26-000011
2023-01-012023-12-31107,234,000USD2026-02-2710-K · 0000714395-26-000011
2022-01-012022-12-31110,036,000USD2025-03-0310-K · 0000714395-25-000012
2021-01-012021-12-31100,844,000USD2024-02-2710-K · 0000714395-24-000014
2020-01-012020-12-3192,418,000USD2023-03-0110-K · 0000714395-23-000008
2019-01-012019-12-3165,229,000USD2022-03-0110-K · 0000714395-22-000014
2018-01-012018-12-3162,331,000USD2021-02-2610-K · 0000714395-21-000009
2017-01-012017-12-3154,875,000USD2020-03-0210-K · 0000714395-20-000008
2012-01-012012-12-3141,997,000USD2013-03-1810-K · 0001144204-13-015851
2011-01-012011-12-3126,616,000USD2013-03-1810-K · 0001144204-13-015851
2010-01-012010-12-3117,227,000USD2013-03-1810-K · 0001144204-13-015851
2009-01-012009-12-3110,425,000USD2012-03-1210-K · 0001144204-12-014190

Related financial histories

Inspect the source

Entity
German American Bancorp, Inc. / CIK 0000714395
Captured
2026-09-19T14:58:48.323Z
SEC response SHA-256
ffccfbec3f7a91ee163fc37676f7a5276cb79570a4f11a215c6123c79cd5205e

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/0000714395.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"])))