Ferrari (RACE) Price to Earnings (2015 - 2026)
Ferrari's Price to Earnings was 72.41 in the quarter ended Jun 30, 2026, down 31.4% from 105.51 a year earlier but up 6.7% from the prior quarter.
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Analysis
Ferrari (RACE) Price to Earnings (2015 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Earnings at Ferrari came in at 76.03, down 21.0% from the prior year.
- In earlier years, Price to Earnings was 96.20 in the year ended Dec 31, 2024 (-9.2%), 105.99 in the year ended Dec 31, 2023 (+13.8%), 93.11 in the year ended Dec 31, 2022 (-17.9%) and 113.47 in the year ended Dec 31, 2021 (-22.4%).
- Quarterly Price to Earnings has moved between 67.86 (the quarter ended Mar 31, 2026) and 130.28 (the quarter ended Mar 31, 2024) over five years.
- Compared with a year earlier, Price to Earnings has declined for seven straight quarters, with an average decline of 14.7% over the last eight quarters.
- The best year-over-year quarter for Price to Earnings over five years was the quarter ended Jun 30, 2023 (growth of 58.4%); the worst was the quarter ended Sep 30, 2021 (a decline of 37.6%).
- Per Business Quant data, RACE's Price to Earnings in the three quarters before the quarter ended Jun 30, 2026 was 67.86 (quarter ended Mar 31, 2026), 76.17 (quarter ended Dec 31, 2025) and 102.27 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.41 |
| Mar 31, 2026 | 67.86 |
| Dec 31, 2025 | 76.17 |
| Sep 30, 2025 | 102.27 |
| Jun 30, 2025 | 105.51 |
| Mar 31, 2025 | 93.97 |
| Dec 31, 2024 | 96.21 |
| Sep 30, 2024 | 128.51 |
| Jun 30, 2024 | 115.49 |
| Mar 31, 2024 | 130.33 |
| Dec 31, 2023 | 106.00 |
| Sep 30, 2023 | 99.93 |
| Jun 30, 2023 | 122.73 |
| Mar 31, 2023 | 111.84 |
| Dec 31, 2022 | 92.93 |
| Sep 30, 2022 | 79.30 |
| Jun 30, 2022 | 77.49 |
| Mar 31, 2022 | 93.75 |
| Dec 31, 2021 | 113.51 |
| Sep 30, 2021 | 88.01 |
API Access
Ferrari 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=RACE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "RACE", "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=RACE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();