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WALMART INC.: common-stock repurchase payments

Common-stock repurchase payments for WALMART INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All WALMART INC. financial histories

What this measure means

Cash paid to reacquire common stock during the period. This is not an authorization limit or a direct measure of the net change in share count.

Exact concept: us-gaap:PaymentsForRepurchaseOfCommonStock. 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 2007-02-01 to 2026-01-31. The SEC response was captured on 2026-09-19.

Selected filing history

Common-stock repurchase payments in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-02-012026-01-318,088,000,000USD2026-03-1310-K · 0000104169-26-000055
2024-02-012025-01-314,494,000,000USD2026-03-1310-K · 0000104169-26-000055
2023-02-012024-01-312,779,000,000USD2026-03-1310-K · 0000104169-26-000055
2022-02-012023-01-319,920,000,000USD2025-03-1410-K · 0000104169-25-000021
2021-02-012022-01-319,787,000,000USD2024-03-1510-K · 0000104169-24-000056
2020-02-012021-01-312,625,000,000USD2023-03-1710-K · 0000104169-23-000020
2019-02-012020-01-315,717,000,000USD2022-03-1810-K · 0000104169-22-000012
2018-02-012019-01-317,410,000,000USD2021-03-1910-K · 0000104169-21-000033
2017-02-012018-01-318,296,000,000USD2020-03-2010-K · 0000104169-20-000011
2016-02-012017-01-318,298,000,000USD2019-03-2810-K · 0000104169-19-000016
2015-02-012016-01-314,112,000,000USD2018-03-3010-K · 0000104169-18-000028
2014-02-012015-01-311,015,000,000USD2017-03-3110-K · 0000104169-17-000021
2013-02-012014-01-316,683,000,000USD2016-03-3010-K · 0000104169-16-000079
2012-02-012013-01-317,600,000,000USD2015-04-0110-K · 0000104169-15-000011
2011-02-012012-01-316,298,000,000USD2014-03-2110-K · 0000104169-14-000019
2010-02-012011-01-3114,776,000,000USD2013-03-2610-K · 0000104169-13-000011
2009-02-012010-01-317,276,000,000USD2012-03-2710-K · 0001193125-12-134679
2008-02-012009-01-313,521,000,000USD2011-03-3010-K · 0001193125-11-083157
2007-02-012008-01-317,691,000,000USD2010-03-3010-K · 0001193125-10-071652

Related financial histories

Inspect the source

Entity
WALMART INC. / CIK 0000104169
Captured
2026-09-19T14:54:17.652Z
SEC response SHA-256
54ec3fbf36dc203dd00a0333396b3df2b6695ecdf6cbb19b6ec41b053d86b517

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/0000104169.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"])))