Ferrari (RACE) EV to EBITDA (2015 - 2026)
Ferrari's (RACE) EV to EBITDA stood at 41.09 in the quarter ended Jun 30, 2026, down 33.8% from 62.07 a year earlier but up 8.0% from the prior quarter.
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Analysis
Ferrari (RACE) EV to EBITDA (2015 - 2026) Analysis & Trends
On a TTM basis, Ferrari's EV to EBITDA came in at 39.34 as of Jun 30, 2026, down 34.6% year-over-year; for the year ended Dec 31, 2025, it was 43.25, down 23.6% from the prior year.
- Across earlier years, EV to EBITDA came in at 56.62 in the year ended Dec 31, 2024 (-1.7%), 57.58 in the year ended Dec 31, 2023 (+19.6%), 48.14 in the year ended Dec 31, 2022 (-20.6%) and 60.66 in the year ended Dec 31, 2021 (-20.7%).
- Quarterly EV to EBITDA has ranged from 38.03 in the quarter ended Mar 31, 2026 to 73.79 in the quarter ended Sep 30, 2024 over the past five years.
- On a year-over-year basis, EV to EBITDA has declined for seven consecutive quarters, with an average decline of 12.4% over the last eight quarters.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 53.0% in the quarter ended Jun 30, 2023, against a decline of 33.8% in the quarter ended Jun 30, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 38.03 (quarter ended Mar 31, 2026), 43.27 (quarter ended Dec 31, 2025) and 59.71 (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 | 36.46 |
| Mar 31, 2026 | 33.66 |
| Dec 31, 2025 | 38.62 |
| Sep 30, 2025 | 53.54 |
| Jun 30, 2025 | 55.50 |
| Mar 31, 2025 | 49.50 |
| Dec 31, 2024 | 53.05 |
| Sep 30, 2024 | 72.89 |
| Jun 30, 2024 | 64.56 |
| Mar 31, 2024 | 71.06 |
| Dec 31, 2023 | 56.92 |
| Sep 30, 2023 | 49.65 |
| Jun 30, 2023 | 59.61 |
| Mar 31, 2023 | 53.23 |
| Dec 31, 2022 | 44.09 |
| Sep 30, 2022 | 39.22 |
| Jun 30, 2022 | 38.96 |
| Mar 31, 2022 | 46.49 |
| Dec 31, 2021 | 56.02 |
| Sep 30, 2021 | 46.78 |
API Access
Ferrari EV to EBITDA 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=ev-to-ebitda&ticker=RACE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=RACE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();