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NETSCOUT SYSTEMS INC: investing cash flow

Investing cash flow for NETSCOUT SYSTEMS INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All NETSCOUT SYSTEMS INC 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 2009-04-01 to 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Investing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-04-012026-03-31-92,830,000USD2026-05-1410-K · 0001078075-26-000050
2024-04-012025-03-31-6,996,000USD2026-05-1410-K · 0001078075-26-000050
2023-04-012024-03-3113,358,000USD2026-05-1410-K · 0001078075-26-000050
2022-04-012023-03-3115,304,000USD2025-05-1510-K · 0001628280-25-025982
2021-04-012022-03-31-68,353,000USD2024-05-1610-K · 0001628280-24-023777
2020-04-012021-03-3124,698,000USD2023-05-1610-K · 0001628280-23-018414
2019-04-012020-03-31-4,309,000USD2022-05-1910-K · 0001628280-22-014892
2018-04-012019-03-31-26,252,000USD2021-05-2010-K · 0001628280-21-010740
2017-04-012018-03-3157,128,000USD2020-05-2010-K · 0001628280-20-008116
2016-04-012017-03-31-41,621,000USD2019-05-2810-K · 0001628280-19-007252
2015-04-012016-03-3125,089,000USD2018-05-2210-K · 0001628280-18-007035
2011-04-012012-03-319,208,000USD2012-05-2510-K · 0001193125-12-248469
2010-04-012011-03-31-59,964,000USD2012-05-2510-K · 0001193125-12-248469
2009-04-012010-03-31-59,505,000USD2012-05-2510-K · 0001193125-12-248469

Related financial histories

Inspect the source

Entity
NETSCOUT SYSTEMS INC / CIK 0001078075
Captured
2026-09-20T05:20:30.283Z
SEC response SHA-256
790f48ac56f3ebf2aaa1ce03861981de952b52b504ca2542d4430ec9454e7b21

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/0001078075.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"])))