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RPM INTERNATIONAL INC.: diluted earnings per share

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

All RPM INTERNATIONAL INC. 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 2008-06-01 to 2026-05-31. 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
2025-06-012026-05-315.17USD/shares2026-07-2210-K · 0001193125-26-312142
2024-06-012025-05-315.35USD/shares2026-07-2210-K · 0001193125-26-312142
2023-06-012024-05-314.56USD/shares2026-07-2210-K · 0001193125-26-312142
2022-06-012023-05-313.72USD/shares2025-07-2410-K · 0000950170-25-098313
2021-06-012022-05-313.79USD/shares2024-07-2510-K · 0000950170-24-086386
2020-06-012021-05-313.87USD/shares2023-07-2610-K · 0000950170-23-034640
2019-06-012020-05-312.34USD/shares2022-07-2510-K · 0000950170-22-012972
2018-06-012019-05-312.01USD/shares2021-07-2610-K · 0001564590-21-037949
2017-06-012018-05-312.5USD/shares2020-07-2710-K · 0001564590-20-033611
2016-06-012017-05-311.36USD/shares2019-07-2410-K · 0001564590-19-025795
2015-06-012016-05-312.63USD/shares2018-07-2310-K · 0001564590-18-017180
2014-06-012015-05-311.78USD/shares2017-07-2410-K · 0001564590-17-013863
2013-06-012014-05-312.18USD/shares2016-07-2810-K · 0001564590-16-021706
2012-06-012013-05-310.74USD/shares2015-07-2710-K · 0001193125-15-264092
2011-06-012012-05-311.65USD/shares2014-08-1410-K · 0001193125-14-310185
2010-06-012011-05-311.45USD/shares2013-07-2410-K · 0001193125-13-300693
2009-06-012010-05-311.39USD/shares2012-07-2610-K · 0001193125-12-316906
2008-06-012009-05-310.93USD/shares2011-07-2710-K · 0001193125-11-198745

Related financial histories

Inspect the source

Entity
RPM INTERNATIONAL INC. / CIK 0000110621
Captured
2026-09-19T14:55:10.935Z
SEC response SHA-256
3fa1c4d00cb93923b066c22b1b0c47b4d15124c47d1d68782380dd7c2e9cf5ca

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/0000110621.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"])))