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GAP, INC: common-stock repurchase payments

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

All GAP, 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 2007-02-04 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
2025-02-022026-01-31155,000,000USD2026-03-1710-K · 0001628280-26-018573
2024-02-042025-02-0175,000,000USD2026-03-1710-K · 0001628280-26-018573
2023-01-292024-02-030USD2026-03-1710-K · 0001628280-26-018573
2022-01-302023-01-28123,000,000USD2025-03-1810-K · 0000039911-25-000029
2021-01-312022-01-29201,000,000USD2024-03-1910-K · 0000039911-24-000066
2020-02-022021-01-300USD2023-03-1410-K · 0000039911-23-000015
2019-02-032020-02-01200,000,000USD2022-03-1510-K · 0000039911-22-000012
2018-02-042019-02-02398,000,000USD2021-03-1610-K · 0000039911-21-000021
2017-01-292018-02-03315,000,000USD2020-03-1710-K · 0000039911-20-000019
2016-01-312017-01-280USD2019-03-1910-K · 0000039911-19-000023
2015-02-012016-01-301,015,000,000USD2018-03-2010-K · 0000039911-18-000048
2014-02-022015-01-311,179,000,000USD2017-03-2010-K · 0000039911-17-000058
2013-02-032014-02-01979,000,000USD2016-03-2110-K · 0000039911-16-000269
2012-01-292013-02-021,030,000,000USD2015-03-2310-K · 0000039911-15-000101
2011-01-302012-01-282,092,000,000USD2014-03-2410-K · 0000039911-14-000045
2010-01-312011-01-291,959,000,000USD2013-03-2610-K · 0000039911-13-000057
2009-02-012010-01-30547,000,000USD2012-03-2610-K · 0001193125-12-132098
2008-02-032009-01-31705,000,000USD2011-03-2810-K · 0001193125-11-079691
2007-02-042008-02-021,700,000,000USD2010-03-2610-K · 0001193125-10-068386

Related financial histories

Inspect the source

Entity
GAP, INC / CIK 0000039911
Captured
2026-09-19T14:47:13.835Z
SEC response SHA-256
683ad2f5c630e295244e8d68c36b213e39a2107a6d4d8c164a8bd10f9c82d139

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/0000039911.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"])))