Ferrari (RACE) EBITDA (2014 - 2026)
Ferrari's EBITDA was $878.33 million in the quarter ended Jun 30, 2026, up 9.4% from $802.53 million a year earlier and up 3.9% from the prior quarter.
Ferrari (RACE) EBITDA (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ferrari's EBITDA was $3.32 billion through Jun 30, 2026, up 13.8% year-over-year; for the year ended Dec 31, 2025, it came in at $3.13 billion, up 13.3% from the prior year.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 19.1% (years ended Dec 2020 to Dec 2025).
- In earlier years, EBITDA was $2.76 billion in the year ended Dec 31, 2024 (+12.1%), $2.47 billion in the year ended Dec 31, 2023 (+31.9%), $1.87 billion in the year ended Dec 31, 2022 (+3.1%) and $1.81 billion in the year ended Dec 31, 2021 (+38.9%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly EBITDA in data going back to the quarter ended Dec 31, 2014.
- Compared with a year earlier, EBITDA has increased for 15 straight quarters, with growth averaging 12.6% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was the quarter ended Sep 30, 2023 (growth of 47.9%); the worst was the quarter ended Sep 30, 2022 (a decline of 1.3%).
- Per Business Quant data, RACE's EBITDA in the three quarters before the quarter ended Jun 30, 2026 was $844.98 million (quarter ended Mar 31, 2026), $814.74 million (quarter ended Dec 31, 2025) and $782.83 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 2.02 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 2.76 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 2.50 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | 4.42 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 10.70 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 | -599.00 Mn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 878.33 Mn |
| Mar 31, 2026 | 1.05 Bn |
| Dec 31, 2025 | 1.03 Bn |
| Sep 30, 2025 | 782.83 Mn |
| Jun 30, 2025 | 802.53 Mn |
| Mar 31, 2025 | 887.78 Mn |
| Dec 31, 2024 | 873.43 Mn |
| Sep 30, 2024 | 700.53 Mn |
| Jun 30, 2024 | 720.44 Mn |
| Mar 31, 2024 | 657.25 Mn |
| Dec 31, 2023 | 633.73 Mn |
| Sep 30, 2023 | 648.50 Mn |
| Jun 30, 2023 | 641.16 Mn |
| Mar 31, 2023 | 576.38 Mn |
| Dec 31, 2022 | 652.96 Mn |
| Sep 30, 2022 | 438.37 Mn |
| Jun 30, 2022 | 476.27 Mn |
| Mar 31, 2022 | 474.47 Mn |
| Dec 31, 2021 | 607.14 Mn |
| Sep 30, 2021 | 437.80 Mn |
Ferrari 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=ebitda&ticker=RACE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=RACE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();