Ferrari (RACE) EPS (Diluted) (2014 - 2026)
Ferrari (RACE) posted EPS (Diluted) of $3.01 for the quarter ended Jun 30, 2026, up 12.9% from $2.67 a year earlier and up 11.2% from the prior quarter.
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Analysis
Ferrari (RACE) EPS (Diluted) (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Ferrari was $10.70, up 11.0% year-over-year; for the year ended Dec 31, 2025, it was $10.12, up 10.6% from the prior year.
- Annual EPS (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 22.0% (years ended Dec 2020 to Dec 2025).
- In prior years, Ferrari's EPS (Diluted) was $9.15 in the year ended Dec 31, 2024 (+22.6%), $7.46 in the year ended Dec 31, 2023 (+39.0%), $5.37 in the year ended Dec 31, 2022 (+0.9%) and $5.32 in the year ended Dec 31, 2021 (+42.2%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EPS (Diluted) in data going back to the quarter ended Dec 31, 2014.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last 14 quarters, with growth averaging 14.2% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was the quarter ended Sep 30, 2023, with growth of 59.1%; the weakest was the quarter ended Dec 31, 2021, with a decline of 21.3%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $2.71 (quarter ended Mar 31, 2026), $2.48 (quarter ended Dec 31, 2025) and $2.48 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 0.31 |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 1.41 |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 3.01 |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | -0.33 |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | 1.64 |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 7.11 |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn | 1.66 |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn | -0.63 |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 0.11 |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | -0.27 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.01 |
| Mar 31, 2026 | 2.71 |
| Dec 31, 2025 | 2.48 |
| Sep 30, 2025 | 2.48 |
| Jun 30, 2025 | 2.67 |
| Mar 31, 2025 | 2.41 |
| Dec 31, 2024 | 2.28 |
| Sep 30, 2024 | 2.26 |
| Jun 30, 2024 | 2.45 |
| Mar 31, 2024 | 2.10 |
| Dec 31, 2023 | 1.74 |
| Sep 30, 2023 | 1.96 |
| Jun 30, 2023 | 1.98 |
| Mar 31, 2023 | 1.73 |
| Dec 31, 2022 | 1.23 |
| Sep 30, 2022 | 1.23 |
| Jun 30, 2022 | 1.44 |
| Mar 31, 2022 | 1.45 |
| Dec 31, 2021 | 1.33 |
| Sep 30, 2021 | 1.31 |
API Access
Ferrari EPS (Diluted) 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=eps-diluted&ticker=RACE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=RACE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();