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CHEMUNG FINANCIAL CORP: investing cash flow

Investing cash flow for CHEMUNG FINANCIAL CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CHEMUNG FINANCIAL CORP financial histories

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
2025-01-012025-12-3168,320,000USD2026-03-1310-K · 0001628280-26-017546
2024-01-012024-12-31-57,723,000USD2026-03-1310-K · 0001628280-26-017546
2023-01-012023-12-31-82,381,000USD2025-03-1410-K · 0000763563-25-000058
2022-01-012022-12-31-252,620,000USD2024-03-1310-K · 0000763563-24-000043
2021-01-012021-12-31-242,484,000USD2023-03-2210-K · 0000763563-23-000037
2020-01-012020-12-31-495,848,000USD2022-03-2310-K · 0000763563-22-000035
2019-01-012019-12-31-32,711,000USD2021-03-2410-K · 0000763563-21-000045
2018-01-012018-12-3143,919,000USD2021-03-2410-K · 0000763563-21-000045
2017-01-012017-12-31-106,642,000USD2020-03-1210-K · 0000763563-20-000052
2016-01-012016-12-31-729,000USD2019-03-1310-K · 0000763563-19-000080
2013-01-012013-12-31-46,487,758USD2014-03-1410-K · 0000763563-14-000057
2012-01-012012-12-31-56,856,819USD2014-03-1410-K · 0000763563-14-000057
2011-01-012011-12-31-5,063,570USD2014-03-1410-K · 0000763563-14-000057
2010-01-012010-12-31-8,958,440USD2013-03-1510-K · 0000763563-13-000110
2009-01-012009-12-31-11,299,476USD2012-03-2810-K · 0000763563-12-000069

Related financial histories

Inspect the source

Entity
CHEMUNG FINANCIAL CORP / CIK 0000763563
Captured
2026-09-19T11:14:26.028Z
SEC response SHA-256
ad4a85506f5e3195dd44aae1da7f7d59c7149f2089f413a40cbd4ebaa103fa17

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/0000763563.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"])))