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Masco Corporation: diluted earnings per share

Diluted earnings per share for Masco Corporation. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Masco Corporation financial histories

What this measure means

Reported earnings or loss per share under dilution rules. Antidilutive instruments may be excluded. A diluted value can equal the basic value without implying no potential dilution.

Exact concept: us-gaap:EarningsPerShareDiluted. 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 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Diluted earnings per share in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-313.86USD/shares2026-02-1010-K · 0000062996-26-000005
2024-01-012024-12-313.76USD/shares2026-02-1010-K · 0000062996-26-000005
2023-01-012023-12-314.02USD/shares2026-02-1010-K · 0000062996-26-000005
2022-01-012022-12-313.63USD/shares2025-02-1110-K · 0000062996-25-000004
2021-01-012021-12-311.62USD/shares2024-02-0810-K · 0000062996-24-000006
2020-01-012020-12-314.59USD/shares2023-02-0910-K · 0000062996-23-000008
2019-01-012019-12-313.22USD/shares2022-02-0810-K · 0000062996-22-000011
2018-01-012018-12-312.37USD/shares2021-02-0910-K · 0000062996-21-000008
2017-01-012017-12-311.66USD/shares2020-02-1110-K · 0000062996-20-000006
2016-01-012016-12-311.48USD/shares2019-02-0710-K · 0000062996-19-000011
2015-01-012015-12-311.02USD/shares2018-02-0810-K · 0000062996-18-000015
2014-01-012014-12-312.38USD/shares2017-02-0910-K · 0000062996-17-000008
2013-01-012013-12-310.8USD/shares2016-02-1210-K · 0001047469-16-010135
2012-01-012012-12-31-0.33USD/shares2015-02-1310-K · 0001047469-15-000803
2011-01-012011-12-31-1.66USD/shares2014-02-1410-K · 0001047469-14-000923
2010-01-012010-12-31-3USD/shares2013-02-1510-K · 0001193125-13-062852
2009-01-012009-12-31-0.53USD/shares2012-02-2110-K · 0001193125-12-070524
2008-01-012008-12-31-1.13USD/shares2011-02-1810-K · 0000950123-11-015716
2007-01-012007-12-311.02USD/shares2010-02-1610-K · 0000950123-10-013437

Related financial histories

Inspect the source

Entity
Masco Corporation / CIK 0000062996
Captured
2026-09-19T14:49:06.883Z
SEC response SHA-256
0950e285020bb21be21e10ffc025db404f88f2fd8784d0f6ba647def57f66f0e

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/0000062996.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"])))