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VIASAT, INC.: basic weighted-average shares

Basic weighted-average shares for VIASAT, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All VIASAT, INC. financial histories

What this measure means

Time-weighted shares used for basic earnings per share. This denominator differs from shares outstanding at a single reporting date.

Exact concept: us-gaap:WeightedAverageNumberOfSharesOutstandingBasic. 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

Basic weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-04-012026-03-31134,744,000shares2026-05-2910-K · 0001193125-26-248290
2024-04-012025-03-31128,476,000shares2026-05-2910-K · 0001193125-26-248290
2023-04-012024-03-31117,189,000shares2026-05-2910-K · 0001193125-26-248290
2022-04-012023-03-3175,915,000shares2025-05-2710-K · 0000950170-25-077138
2021-04-012022-03-3173,397,000shares2024-05-2910-K · 0000950170-24-066031
2020-04-012021-03-3166,444,000shares2023-05-2210-K · 0000950170-23-023444
2019-04-012020-03-3161,632,000shares2022-05-3110-K · 0000950170-22-010881
2018-04-012019-03-3159,942,000shares2021-05-2810-K · 0001564590-21-030718
2017-04-012018-03-3158,438,000shares2020-05-2910-K · 0001564590-20-027420
2016-04-012017-03-3152,318,000shares2019-05-2910-K · 0001564590-19-020649
2015-04-042016-03-3148,464,000shares2018-05-3010-K · 0001564590-18-014641
2014-04-052015-04-0347,139,000shares2017-05-2510-K · 0001193125-17-182146
2013-03-302014-04-0445,744,000shares2016-05-2610-K · 0001193125-16-604149
2012-03-312013-03-2943,931,000shares2015-05-2610-K · 0001193125-15-199042
2011-04-022012-03-3042,325,000shares2014-05-2710-K · 0001193125-14-211759
2010-04-032011-04-0140,858,000shares2013-05-2410-K · 0001193125-13-234043
2009-04-042010-04-0233,020,000shares2012-05-2510-K · 0001193125-12-249227
2008-03-292009-04-0330,772,000shares2011-05-2710-K · 0000950123-11-054646

Related financial histories

Inspect the source

Entity
VIASAT, INC. / CIK 0000797721
Captured
2026-09-19T15:04:55.725Z
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

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/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"])))