Ferrari (RACE) Other Operating Expenses (2014 - 2026)
Ferrari (RACE) posted Other Operating Expenses of $13.46 million for the quarter ended Jun 30, 2026, up 84.3% from $7.31 million a year earlier and up 55.8% from the prior quarter.
Ferrari (RACE) Other Operating Expenses (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Ferrari was $40.87 million, up 55.5% year-over-year; for the year ended Dec 31, 2025, it was $38.75 million, up 187.8% from the prior year.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 12.3% (years ended Dec 2020 to Dec 2025).
- In prior years, Ferrari's Other Operating Expenses was $13.47 million in the year ended Dec 31, 2024 (-34.1%), $20.44 million in the year ended Dec 31, 2023 (-10.0%), $22.71 million in the year ended Dec 31, 2022 (+245.1%) and $6.58 million in the year ended Dec 31, 2021 (-69.7%).
- Quarterly Other Operating Expenses has run from a low of -$1.01 million in the quarter ended Jun 30, 2024 to a high of $16.2 million in the quarter ended Dec 31, 2025 over five years.
- On a year-over-year basis, Other Operating Expenses increased in three of the last six quarters, with growth averaging 1.6%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $8.64 million (quarter ended Mar 31, 2026), $16.2 million (quarter ended Dec 31, 2025) and $2.57 million (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.46 Mn |
| Mar 31, 2026 | 8.64 Mn |
| Dec 31, 2025 | 16.20 Mn |
| Sep 30, 2025 | 2.57 Mn |
| Jun 30, 2025 | 7.31 Mn |
| Mar 31, 2025 | 12.34 Mn |
| Dec 31, 2024 | 571,698.54 |
| Sep 30, 2024 | 6.07 Mn |
| Jun 30, 2024 | -1.01 Mn |
| Mar 31, 2024 | 7.95 Mn |
| Dec 31, 2023 | 4.26 Mn |
| Sep 30, 2023 | 4.20 Mn |
| Jun 30, 2023 | 5.02 Mn |
| Mar 31, 2023 | 6.94 Mn |
| Dec 31, 2019 | 1.11 Mn |
| Dec 31, 2018 | 3.30 Mn |
| Sep 30, 2018 | 4.65 Mn |
| Jun 30, 2018 | 5.97 Mn |
| Mar 31, 2018 | -10.82 Mn |
| Dec 31, 2017 | -2.51 Mn |
Ferrari Other Operating Expenses 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=other-operating-expenses&ticker=RACE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=RACE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();