Quaker Chemical Corporation: common-stock repurchase payments
Quaker Chemical common-stock repurchase payments: $41.5 million for the year ending 2025-12-31, down 15.7% on the year. 10 values since 2013 from SEC filings.
All Quaker Chemical Corporation financial histories
At a glance
Quaker Chemical reported common-stock repurchase payments of $41.5 million for the year ending 2025-12-31, down 15.7% from $49.2 million a year earlier. Across the last five reported years it ranged from $0 (2018-12-31) to $49.2 million (2024-12-31). That was 2.2% of revenue ($1.89 billion) for the same year.
Computed from the values in the table below, in USD; each links to the filing it came from.
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 2013-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2025-01-01 | 2025-12-31 | 41,521,000 | USD | 2026-02-23 | 10-K · 0001628280-26-010694 SEC |
| 2024-01-01 | 2024-12-31 | 49,247,000 | USD | 2026-02-23 | 10-K · 0001628280-26-010694 SEC |
| 2023-01-01 | 2023-12-31 | 0 | USD | 2026-02-23 | 10-K · 0001628280-26-010694 SEC |
| 2022-01-01 | 2022-12-31 | 0 | USD | 2025-02-24 | 10-K · 0000081362-25-000014 SEC |
| 2018-01-01 | 2018-12-31 | 0 | USD | 2019-02-28 | 10-K · 0000081362-19-000002 SEC |
| 2017-01-01 | 2017-12-31 | 0 | USD | 2019-02-28 | 10-K · 0000081362-19-000002 SEC |
| 2016-01-01 | 2016-12-31 | 5,859,000 | USD | 2019-02-28 | 10-K · 0000081362-19-000002 SEC |
| 2015-01-01 | 2015-12-31 | 7,276,000 | USD | 2018-02-28 | 10-K · 0000081362-18-000003 SEC |
| 2014-01-01 | 2014-12-31 | 0 | USD | 2017-02-28 | 10-K · 0000081362-17-000006 SEC |
| 2013-01-01 | 2013-12-31 | 0 | USD | 2016-02-25 | 10-K · 0000081362-16-000025 SEC |
Related QUAKER CHEMICAL CORPORATION histories
Inspect the source
- Entity
- QUAKER CHEMICAL CORPORATION / CIK 0000081362
- Captured
- SEC response SHA-256
1df8414fb2b911498201e27d7dfe09f169bd76952605ea72dc23da002818a098
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
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The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000081362.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"])))