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INTERNATIONAL BUSINESS MACHINES CORP: common-stock repurchase payments

Common-stock repurchase payments for INTERNATIONAL BUSINESS MACHINES CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All INTERNATIONAL BUSINESS MACHINES CORP 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 2007-01-01 to 2019-12-31. The SEC response was captured on 2026-09-19.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

Common-stock repurchase payments in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2019-01-012019-12-311,361,000,000USD2022-02-2210-K · 0001558370-22-001584
2018-01-012018-12-314,443,000,000USD2021-02-2310-K · 0001558370-21-001489
2017-01-012017-12-314,340,000,000USD2020-02-2510-K · 0001558370-20-001334
2016-01-012016-12-313,502,000,000USD2019-02-2610-K · 0001047469-19-000712
2015-01-012015-12-314,609,000,000USD2018-02-2710-K · 0001047469-18-001117
2014-01-012014-12-3113,679,000,000USD2017-02-2810-K · 0001047469-17-001061
2013-01-012013-12-3113,859,000,000USD2016-02-2310-K · 0001047469-16-010329
2012-01-012012-12-3111,995,000,000USD2015-02-2410-K · 0001047469-15-001106
2011-01-012011-12-3115,046,000,000USD2014-02-2510-K · 0001047469-14-001302
2010-12-312011-12-3115,046,000,000USD2013-02-2610-K · 0001047469-13-001698
2009-12-312010-12-3115,375,000,000USD2013-02-2610-K · 0001047469-13-001698
2009-01-012009-12-317,429,000,000USD2010-02-2310-K · 0001047469-10-001151
2008-12-312009-12-317,429,000,000USD2012-02-2810-K · 0001047469-12-001742
2008-01-012008-12-3110,578,000,000USD2011-02-2210-K · 0001047469-11-001117
2007-01-012007-12-3118,828,000,000USD2010-02-2310-K · 0001047469-10-001151

Related financial histories

Inspect the source

Entity
INTERNATIONAL BUSINESS MACHINES CORP / CIK 0000051143
Captured
2026-09-19T14:48:16.782Z
SEC response SHA-256
1660477fa5713e5749c3038cf22b3c776414acfc6e1e721d1772c91101dc5e5c

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/0000051143.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"])))