Ferrari (RACE) Cost of Revenue (2014 - 2026)
Ferrari's Cost of Revenue was $1.04 billion in Q3 2026, up 0.7% from $1.03 billion a year earlier but down 2.8% from the prior quarter.
Ferrari (RACE) Cost of Revenue (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ferrari's Cost of Revenue was $4.16 billion through Sep 30, 2026, up 8.9% year-over-year; for FY2025, it was $3.9 billion, up 8.3% from FY2024.
- Cost of Revenue has now increased for five consecutive years, with a five-year compound annual growth rate of 15.2% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $3.6 billion in FY2024 (+11.2%), $3.24 billion in FY2023 (+16.1%), $2.79 billion in FY2022 (+13.4%) and $2.46 billion in FY2021 (+27.9%).
- Quarterly Cost of Revenue has moved between $657.65 million (Q4 2021) and $1.07 billion (Q2 2026) over five years.
- Compared with a year earlier, Cost of Revenue has increased for 25 straight quarters, with growth averaging 8.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 0.7% (Q3 2026) to 28.3% (Q3 2023).
- Per Business Quant data, RACE's Cost of Revenue in the three quarters before Q3 2026 was $1.07 billion (Q2 2026), $1.04 billion (Q1 2026) and $1.01 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 22.55 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 40.74 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 1.04 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 42.15 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 29.57 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 64.56 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | 1.98 Bn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 8.43 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | 39.33 Bn |
| 10 | Li Auto | 12.62 Bn | -36.34 Bn | 417.98 Mn | 3.36 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.04 Bn |
| Jun 30, 2026 | 1.07 Bn |
| Mar 31, 2026 | 1.04 Bn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 1.03 Bn |
| Jun 30, 2025 | 958.31 Mn |
| Mar 31, 2025 | 902.52 Mn |
| Dec 31, 2024 | 924.34 Mn |
| Sep 30, 2024 | 908.31 Mn |
| Jun 30, 2024 | 922.42 Mn |
| Mar 31, 2024 | 849.53 Mn |
| Dec 31, 2023 | 839.23 Mn |
| Sep 30, 2023 | 847.74 Mn |
| Jun 30, 2023 | 790.90 Mn |
| Mar 31, 2023 | 763.18 Mn |
| Dec 31, 2022 | 741.30 Mn |
| Sep 30, 2022 | 660.69 Mn |
| Jun 30, 2022 | 724.42 Mn |
| Mar 31, 2022 | 660.16 Mn |
| Dec 31, 2021 | 657.65 Mn |
Ferrari Cost of Revenue 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=cost-of-revenue&ticker=RACE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=RACE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();