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MINERALS TECHNOLOGIES INC.: common-stock repurchase payments

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

All MINERALS TECHNOLOGIES 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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Common-stock repurchase payments in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3158,500,000USD2026-02-2010-K · 0000891014-26-000067
2024-01-012024-12-3163,600,000USD2026-02-2010-K · 0000891014-26-000067
2023-01-012023-12-3114,200,000USD2026-02-2010-K · 0000891014-26-000067
2022-01-012022-12-3156,000,000USD2025-02-2110-K · 0000891014-25-000018
2021-01-012021-12-3174,700,000USD2024-02-1610-K · 0000891014-24-000014
2020-01-012020-12-3140,700,000USD2023-02-1710-K · 0000891014-23-000014
2019-01-012019-12-3141,000,000USD2022-02-1810-K · 0000891014-22-000009
2018-01-012018-12-3121,700,000USD2021-02-1910-K · 0000891014-21-000011
2017-01-012017-12-31700,000USD2020-02-1410-K · 0000891014-20-000010
2016-01-012016-12-312,600,000USD2019-02-1510-K · 0000891014-19-000010
2015-01-012015-12-310USD2018-02-1610-K · 0001140361-18-008762
2014-01-012014-12-310USD2017-02-1710-K · 0001140361-17-008053
2013-01-012013-12-3151,800,000USD2016-02-1910-K · 0001140361-16-054076
2012-01-012012-12-3125,900,000USD2015-02-1810-K · 0001140361-15-007848
2011-01-012011-12-3148,004,000USD2014-02-2110-K · 0000891014-14-000006
2010-01-012010-12-3127,922,000USD2013-02-2210-K · 0000891014-13-000010
2009-01-012009-12-310USD2012-02-2710-K · 0000891014-12-000009
2008-01-012008-12-3145,281,000USD2011-02-2510-K · 0000891014-11-000007

Related financial histories

Inspect the source

Entity
MINERALS TECHNOLOGIES INC. / CIK 0000891014
Captured
2026-09-20T05:03:49.435Z
SEC response SHA-256
397b60e38301a608b59c822f190aa78f3bb7f0aa715ebbfc3da222ef67a78492

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/0000891014.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"])))