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Compass Minerals International, Inc.: diluted weighted-average shares

Diluted weighted-average shares for Compass Minerals International, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Compass Minerals International, Inc. financial histories

What this measure means

Weighted-average shares used for diluted earnings per share. Potential shares are included under the applicable dilution rules, not simply added to outstanding shares.

Exact concept: us-gaap:WeightedAverageNumberOfDilutedSharesOutstanding. 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 2025-09-30. The SEC response was captured on 2026-09-19.

Selected filing history

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-10-012025-09-3041,828,000shares2025-12-1210-K · 0001227654-25-000199
2023-10-012024-09-3041,306,000shares2025-12-1210-K · 0001227654-25-000199
2022-10-012023-09-3040,786,000shares2025-12-1210-K · 0001227654-25-000199
2021-10-012022-09-3034,120,000shares2024-12-1610-K · 0001227654-24-000230
2020-10-012021-09-3034,042,000shares2024-10-2910-K/A · 0001227654-24-000210
2020-01-012020-12-3133,928,000shares2022-12-1410-K · 0001227654-22-000340
2019-01-012019-12-3133,882,000shares2021-09-0310-K/A · 0001227654-21-000219
2018-01-012018-12-3133,848,000shares2021-09-0310-K/A · 0001227654-21-000219
2017-01-012017-12-3133,820,000shares2020-02-2610-K · 0001227654-20-000044
2016-01-012016-12-3133,780,000shares2019-03-0110-K · 0001227654-19-000037
2015-01-012015-12-3133,692,000shares2018-02-2710-K · 0001227654-18-000031
2014-01-012014-12-3133,581,000shares2017-03-0110-K · 0001227654-17-000032
2013-01-012013-12-3133,420,000shares2016-02-2210-K · 0001227654-16-000082
2012-01-012012-12-3133,135,000shares2015-02-2310-K · 0001140361-15-008475
2011-01-012011-12-3132,934,000shares2014-02-2410-K · 0001140361-14-009227
2010-01-012010-12-3132,763,000shares2013-02-2110-K · 0001140361-13-008641
2009-01-012009-12-3132,596,000shares2012-02-2210-K · 0001140361-12-010153
2008-01-012008-12-3132,477shares2011-02-2210-K · 0001140361-11-011013

Related financial histories

Inspect the source

Entity
Compass Minerals International, Inc. / CIK 0001227654
Captured
2026-09-19T11:17:05.676Z
SEC response SHA-256
e35c63d958ef9b086a4a3940b05df1180411e5e375b2a0bd4518328b58fcc764

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/0001227654.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"])))