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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,246.67 Bn | 1,072.69 Bn | 4.75 Bn | 0.31 |
| 2 | Ferrari | 70.31 Bn | 62.80 Bn | 1.18 Bn | 3.01 |
| 3 | General Motors | 65.98 Bn | -38.64 Bn | 9.28 Bn | 3.73 |
| 4 | Ford Motor | 47.27 Bn | -95.23 Bn | 6.08 Bn | -0.33 |
| 5 | Honda Motor | 45.14 Bn | -104.67 Bn | 8.46 Bn | 1.64 |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 7.11 |
| 7 | Magna International | 17.92 Bn | 11.94 Bn | 1.61 Bn | 1.66 |
| 8 | Rivian Automotive | 16.51 Bn | -6.80 Bn | 179.00 Mn | -0.63 |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | 0.11 |
| 10 | Li Auto | 11.55 Bn | -37.37 Bn | 417.98 Mn | -0.27 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.66 |
| Mar 31, 2026 | -0.04 |
| Dec 31, 2025 | 5.73 |
| Sep 30, 2025 | 1.06 |
| Jun 30, 2025 | 1.32 |
| Mar 31, 2025 | 0.51 |
| Dec 31, 2024 | 5.41 |
| Sep 30, 2024 | 1.69 |
| Jun 30, 2024 | 1.09 |
| Mar 31, 2024 | 0.03 |
| Dec 31, 2023 | 5.48 |
| Sep 30, 2023 | 1.35 |
| Jun 30, 2023 | 1.16 |
| Mar 31, 2023 | 0.72 |
| Dec 31, 2022 | 4.23 |
| Sep 30, 2022 | 0.95 |
| Jun 30, 2022 | -0.52 |
| Mar 31, 2022 | 1.20 |
| Dec 31, 2021 | 1.53 |
| Sep 30, 2021 | 0.04 |
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_KEY
import 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();