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Magna International Inc.: diluted earnings per share

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

All Magna 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 2009-01-01 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
2025-01-012025-12-312.93USD/shares2026-03-2740-F · 0001193125-26-128771
2024-01-012024-12-313.52USD/shares2026-03-2740-F · 0001193125-26-128771
2023-01-012023-12-314.23USD/shares2025-03-2840-F · 0001193125-25-066935
2022-01-012022-12-312.03USD/shares2024-03-2840-F · 0001193125-24-080656
2021-01-012021-12-315USD/shares2023-03-3140-F · 0001193125-23-087951
2020-01-012020-12-312.52USD/shares2022-03-2840-F · 0001193125-22-085474
2019-01-012019-12-315.59USD/shares2021-03-2940-F · 0001193125-21-097041
2018-01-012018-12-316.61USD/shares2020-03-2740-F · 0001193125-20-088979
2017-01-012017-12-315.87USD/shares2019-03-2940-F · 0001193125-19-092912
2016-01-012016-12-315.16USD/shares2018-03-2940-F · 0001193125-18-099856
2015-01-012015-12-314.88USD/shares2017-03-3040-F · 0001193125-17-102145
2014-01-012014-12-314.34USD/shares2016-03-2940-F · 0001193125-16-521370
2013-01-012013-12-316.76USD/shares2015-03-2740-F · 0001193125-15-109609
2012-01-012012-12-316.09USD/shares2015-03-2740-F · 0001193125-15-109609
2011-01-012011-12-314.2USD/shares2014-03-2840-F · 0001193125-14-121596
2010-01-012010-12-314.3USD/shares2013-03-2840-F · 0001193125-13-131919
2009-01-012009-12-31-2.03USD/shares2012-03-3040-F · 0001193125-12-143610

Related financial histories

Inspect the source

Entity
Magna International Inc. / CIK 0000749098
Captured
2026-09-19T15:01:47.415Z
SEC response SHA-256
7f1da2387c262340d89ebf0199d580d3dc9a7a8a9942ef407971a436c9ff01f3

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/0000749098.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"])))