Magna International (MGA) EPS (Diluted) (2009 - 2026)
Magna International (MGA) posted EPS (Diluted) of $1.70 for the quarter ended Jun 30, 2026, up 23.5% from $1.37 a year earlier.
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Analysis
Magna International (MGA) EPS (Diluted) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Magna International was $2.84, down 36.4% year-over-year; for the year ended Dec 31, 2025, it came in at $3.13, down 18.2% from the prior year.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of 6.8% (years ended Dec 2020 to Dec 2025).
- In prior years, Magna International's EPS (Diluted) was $3.82 in the year ended Dec 31, 2024 (-14.9%), $4.49 in the year ended Dec 31, 2023 (+103.8%), $2.20 in the year ended Dec 31, 2022 (-57.1%) and $5.13 in the year ended Dec 31, 2021 (+127.6%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EPS (Diluted) since the quarter ended Sep 30, 2024.
- On a year-over-year basis, EPS (Diluted) increased in four of the last seven quarters, with growth averaging 53.3%.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was the quarter ended Mar 31, 2025, with growth of 461.0%; the weakest was the quarter ended Dec 31, 2025, with a decline of 98.7%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was -$0.04 (quarter ended Mar 31, 2026), $0.01 (quarter ended Dec 31, 2025) and $1.16 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,142.14 Bn | 976.70 Bn | 4.75 Bn | 0.31 |
| 2 | Toyota Motor | 240.48 Bn | -166.26 Bn | 20.95 Bn | 0.75 |
| 3 | Ferrari | 149.20 Bn | 141.65 Bn | 1.18 Bn | 3.01 |
| 4 | Honda Motor | 145.55 Bn | 12.93 Bn | 8.46 Bn | - |
| 5 | General Motors | 70.62 Bn | -34.25 Bn | 7.33 Bn | 1.41 |
| 6 | Ford Motor | 48.18 Bn | -94.29 Bn | 6.08 Bn | -0.33 |
| 7 | Rivian Automotive | 20.39 Bn | -2.90 Bn | 179.00 Mn | -0.63 |
| 8 | Magna International | 18.08 Bn | 15.64 Bn | 1.61 Bn | 1.70 |
| 9 | Stellantis | 12.84 Bn | -153.16 Bn | 5.55 Bn | 0.11 |
| 10 | Li Auto | 11.39 Bn | -42.62 Bn | 417.98 Mn | -0.23 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.70 |
| Mar 31, 2026 | -0.04 |
| Dec 31, 2025 | 0.01 |
| Sep 30, 2025 | 1.16 |
| Jun 30, 2025 | 1.37 |
| Mar 31, 2025 | 0.51 |
| Dec 31, 2024 | 0.82 |
| Sep 30, 2024 | 1.77 |
| Jun 30, 2024 | 1.14 |
| Mar 31, 2024 | 0.09 |
| Dec 31, 2023 | 1.04 |
| Sep 30, 2023 | 1.43 |
| Jun 30, 2023 | 1.22 |
| Mar 31, 2023 | 0.75 |
| Dec 31, 2022 | 0.38 |
| Sep 30, 2022 | 0.98 |
| Jun 30, 2022 | -0.52 |
| Mar 31, 2022 | 1.25 |
| Dec 31, 2021 | 1.58 |
| Sep 30, 2021 | 0.06 |
API Access
Magna International EPS (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=eps-diluted&ticker=MGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "MGA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();