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ACNB Corporation: investing cash flow

ACNB investing cash flow: $64.6 million for the year ending 2025-12-31, up 2562.6% on the year. 17 values since 2009 from SEC filings. In original units.

All ACNB Corporation financial histories

At a glance

ACNB reported investing cash flow of $64.6 million for the year ending 2025-12-31, up 2562.6% from $2.43 million a year earlier. Across the last five reported years it ranged from -$331.7 million (2022-12-31) to $64.6 million (2025-12-31). That was 33.7% of revenue ($191.8 million) for the same year.

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

What this measure means

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. 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

Investing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3164,647,000USD2026-03-1210-K · 0001628280-26-017229 SEC
2024-01-012024-12-312,428,000USD2026-03-1210-K · 0001628280-26-017229 SEC
2023-01-012023-12-3115,437,000USD2026-03-1210-K · 0001628280-26-017229 SEC
2022-01-012022-12-31-331,723,000USD2025-03-1410-K · 0000715579-25-000030 SEC
2021-01-012021-12-3160,521,000USD2023-03-0310-K · 0000715579-23-000015 SEC
2020-01-012020-12-31-114,848,000USD2022-03-1410-K · 0000715579-22-000018 SEC
2019-01-012019-12-318,021,000USD2021-03-0510-K · 0000715579-21-000012 SEC
2018-01-012018-12-31-53,616,000USD2020-03-0610-K · 0001047469-20-001268 SEC
2017-01-012017-12-31-51,953,000USD2019-03-0810-K · 0001047469-19-001018 SEC
2016-01-012016-12-31-59,442,000USD2018-03-0910-K · 0001047469-18-001446 SEC
2015-01-012015-12-31-64,144,000USD2018-03-0910-K · 0001047469-18-001446 SEC
2014-01-012014-12-31-44,131,000USD2017-03-1510-K · 0001047469-17-001613 SEC
2013-01-012013-12-31-38,125,000USD2016-03-0410-K · 0001047469-16-010754 SEC
2012-01-012012-12-31-17,797,000USD2015-03-0610-K · 0001047469-15-001759 SEC
2011-01-012011-12-31-48,286,000USD2014-03-0710-K · 0001047469-14-001965 SEC
2010-01-012010-12-31-7,370,000USD2013-03-1510-K · 0001047469-13-002818 SEC
2009-01-012009-12-3118,191,000USD2012-03-1210-K · 0001047469-12-002448 SEC

Related ACNB CORPORATION histories

All 40 ACNB histories

Inspect the source

Entity
ACNB CORPORATION / CIK 0000715579
Captured
SEC response SHA-256
eaa278378f8229481b18e86f247c7bb3fcacf4f64a877a3d399ee2e173795c87

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/0000715579.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"])))