Ferrari (RACE) Price to Earnings (2015 - 2026)
Ferrari's (RACE) quarterly Price to Earnings came in at 257.21 in Q2 2026, down 32.51% year-over-year from 381.11 in Q2 2025, and down 1.04% quarter-over-quarter from 259.92 in Q1 2026.
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Ferrari (RACE) Price to Earnings (2015 - 2026) Analysis & Trends
Ferrari (RACE) has reported Price to Earnings for 12 consecutive years, with 257.21 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 32.51% year-over-year to 257.21 in Q2 2026; TTM through Jun 2026 was 72.41, a 31.37% decrease from a year earlier, with the FY2025 full-year figure at 73.8, down 23.28% from the prior year.
- Price to Earnings was 257.21 for Q2 2026 at Ferrari, down from 259.92 in the prior quarter.
- Over five years, Price to Earnings peaked at 485.26 in Q3 2024 and troughed at 257.21 in Q2 2026.
- A 5-year average of 371.76 and a median of 374.83 in 2025 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings soared 37.98% in 2024 and tumbled 32.51% in 2026, its largest moves.
- Over 5 years, Price to Earnings stood at 407.77 in 2022, then grew by 11.67% to 455.36 in 2023, then decreased by 15.25% to 385.93 in 2024, then fell by 19.57% to 310.39 in 2025, then fell by 17.13% to 257.21 in 2026.
- The last three Price to Earnings figures came in at 257.21 (Q2 2026), 259.92 (Q1 2026), and 310.39 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn |
| 10 | Li Auto | 11.82 Bn | -670.23 Mn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 257.21 |
| Mar 31, 2026 | 259.92 |
| Dec 31, 2025 | 310.39 |
| Sep 30, 2025 | 405.96 |
| Jun 30, 2025 | 381.11 |
| Mar 31, 2025 | 368.56 |
| Dec 31, 2024 | 385.93 |
| Sep 30, 2024 | 485.26 |
| Jun 30, 2024 | 390.31 |
| Mar 31, 2024 | 484.42 |
| Dec 31, 2023 | 455.36 |
| Sep 30, 2023 | 351.69 |
| Jun 30, 2023 | 382.96 |
| Mar 31, 2023 | 364.93 |
| Dec 31, 2022 | 407.77 |
| Sep 30, 2022 | 350.30 |
| Jun 30, 2022 | 297.64 |
| Mar 31, 2022 | 351.96 |
| Dec 31, 2021 | 455.16 |
| Sep 30, 2021 | 380.91 |
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();