Magna International (MGA) Price to Earnings (2010 - 2026)
Magna International's (MGA) Price to Earnings stood at 22.91 in the quarter ended Jun 30, 2026, up 169.0% from 8.52 a year earlier and up 5.2% from the prior quarter.
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Analysis
Magna International (MGA) Price to Earnings (2010 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Magna International's Price to Earnings came in at 16.92, up 56.8% from the prior year.
- Across earlier years, Price to Earnings came in at 10.79 in the year ended Dec 31, 2024 (-18.1%), 13.16 in the year ended Dec 31, 2023 (-47.5%), 25.06 in the year ended Dec 31, 2022 (+61.4%) and 15.52 in the year ended Dec 31, 2021 (-50.6%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Price to Earnings since the quarter ended Mar 31, 2023.
- On a year-over-year basis, Price to Earnings has increased for four consecutive quarters, with growth averaging 38.5% over the last eight quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 243.6% in the quarter ended Sep 30, 2021, against a decline of 56.4% in the quarter ended Mar 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 21.78 (quarter ended Mar 31, 2026), 17.05 (quarter ended Dec 31, 2025) and 12.11 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn |
| 10 | Li Auto | 10.84 Bn | -43.16 Bn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.91 |
| Mar 31, 2026 | 21.78 |
| Dec 31, 2025 | 17.05 |
| Sep 30, 2025 | 12.11 |
| Jun 30, 2025 | 8.52 |
| Mar 31, 2025 | 7.91 |
| Dec 31, 2024 | 10.79 |
| Sep 30, 2024 | 10.14 |
| Jun 30, 2024 | 11.23 |
| Mar 31, 2024 | 14.26 |
| Dec 31, 2023 | 13.16 |
| Sep 30, 2023 | 13.95 |
| Jun 30, 2023 | 16.50 |
| Mar 31, 2023 | 32.73 |
| Dec 31, 2022 | 25.50 |
| Sep 30, 2022 | 14.17 |
| Jun 30, 2022 | 22.78 |
| Mar 31, 2022 | 14.76 |
| Dec 31, 2021 | 15.65 |
| Sep 30, 2021 | 12.47 |
API Access
Magna International Price to Earnings 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=price-to-earnings&ticker=MGA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MGA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();