Ferrari (RACE) EPS (Diluted) (2014 - 2026)
Ferrari (RACE) posted EPS (Diluted) of $2.77 for Q3 2026, up 12.0% from $2.48 a year earlier but down 8.0% from the prior quarter.
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Analysis
Ferrari (RACE) EPS (Diluted) (2014 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EPS (Diluted) at Ferrari was $10.98, up 11.6% year-over-year; for FY2025, it was $10.12, up 10.6% from FY2024.
- Annual EPS (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- In prior years, Ferrari's EPS (Diluted) was $9.15 in FY2024 (+22.6%), $7.46 in FY2023 (+39.0%), $5.37 in FY2022 (+0.9%) and $5.32 in FY2021 (+42.2%).
- Quarterly EPS (Diluted) has run from a low of $1.23 in Q4 2022 to a high of $3.01 in Q2 2026 over five years.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last 15 quarters, with growth averaging 13.8% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was Q3 2023, with growth of 59.1%; the weakest was Q4 2021, with a decline of 21.3%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $3.01 (Q2 2026), $2.71 (Q1 2026) and $2.48 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,113.56 Bn | 944.46 Bn | 5.49 Bn | 0.22 |
| 2 | Ferrari | 156.88 Bn | 149.18 Bn | 1.14 Bn | 2.77 |
| 3 | General Motors | 75.72 Bn | -27.18 Bn | 9.28 Bn | 3.73 |
| 4 | Honda Motor | 54.76 Bn | -93.40 Bn | 8.46 Bn | 1.64 |
| 5 | Ford Motor | 49.15 Bn | -85.23 Bn | 7.38 Bn | 0.51 |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 3.66 |
| 7 | Rivian Automotive | 19.40 Bn | -2.29 Bn | 176.00 Mn | -0.63 |
| 8 | Magna International | 17.60 Bn | 11.91 Bn | 1.63 Bn | 1.36 |
| 9 | Stellantis | 12.84 Bn | -148.07 Bn | 3.94 Bn | -0.19 |
| 10 | Li Auto | 12.11 Bn | -36.77 Bn | 417.98 Mn | -0.27 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.77 |
| 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 |
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();