Viasat, Inc.: operating cash flow
Viasat operating cash flow: $1.59 billion for the year ending 2026-03-31, up 75.1% on the year. 14 values since 2009 from SEC filings. In original units.
All Viasat, Inc. financial histories
At a glance
Viasat reported operating cash flow of $1.59 billion for the year ending 2026-03-31, up 75.1% from $908.2 million a year earlier. From 2009 to 2026 it grew at a compound 21.0% a year, from $61.9 million to $1.59 billion. Across the last five reported years it ranged from $367.9 million (2023-03-31) to $1.59 billion (2026-03-31). That was 34.3% of revenue ($4.64 billion) 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
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 2008-03-29 to 2026-03-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-04-01 | 2026-03-31 | 1,589,885,000 | USD | 2026-05-29 | 10-K · 0001193125-26-248290 SEC |
| 2024-04-01 | 2025-03-31 | 908,187,000 | USD | 2026-05-29 | 10-K · 0001193125-26-248290 SEC |
| 2023-04-01 | 2024-03-31 | 688,196,000 | USD | 2026-05-29 | 10-K · 0001193125-26-248290 SEC |
| 2022-04-01 | 2023-03-31 | 367,861,000 | USD | 2025-05-27 | 10-K · 0000950170-25-077138 SEC |
| 2021-04-01 | 2022-03-31 | 505,641,000 | USD | 2024-05-29 | 10-K · 0000950170-24-066031 SEC |
| 2020-04-01 | 2021-03-31 | 727,215,000 | USD | 2023-05-22 | 10-K · 0000950170-23-023444 SEC |
| 2019-04-01 | 2020-03-31 | 436,936,000 | USD | 2022-05-31 | 10-K · 0000950170-22-010881 SEC |
| 2018-04-01 | 2019-03-31 | 327,551,000 | USD | 2021-05-28 | 10-K · 0001564590-21-030718 SEC |
| 2017-04-01 | 2018-03-31 | 358,633,000 | USD | 2020-05-29 | 10-K · 0001564590-20-027420 SEC |
| 2016-04-01 | 2017-03-31 | 411,298,000 | USD | 2019-05-29 | 10-K · 0001564590-19-020649 SEC |
| 2011-04-02 | 2012-03-30 | 141,449,000 | USD | 2012-05-25 | 10-K · 0001193125-12-249227 SEC |
| 2010-04-03 | 2011-04-01 | 169,617,000 | USD | 2012-05-25 | 10-K · 0001193125-12-249227 SEC |
| 2009-04-04 | 2010-04-02 | 112,546,000 | USD | 2012-05-25 | 10-K · 0001193125-12-249227 SEC |
| 2008-03-29 | 2009-04-03 | 61,942,000 | USD | 2011-05-27 | 10-K · 0000950123-11-054646 SEC |
Related VIASAT, INC. histories
Inspect the source
- Entity
- VIASAT, INC. / CIK 0000797721
- Captured
- SEC response SHA-256
b4638a0a91788680dc810196e3dae0051f74795575004e227a18f649372492d0
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
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000797721.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"])))