Ferrari (RACE) Exchange Rate Effect (2014 - 2026)
Ferrari's Exchange Rate Effect was $1.8 million in the quarter ended Jun 30, 2026, compared with -$9.51 million a year earlier and down 22.8% from the prior quarter.
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Analysis
Ferrari (RACE) Exchange Rate Effect (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ferrari's Exchange Rate Effect was $4.02 million through Jun 30, 2026; for the year ended Dec 31, 2025, it was -$14.14 million.
- In earlier years, Exchange Rate Effect was $5.9 million in the year ended Dec 31, 2024, -$8.33 million in the year ended Dec 31, 2023, $403,665 in the year ended Dec 31, 2022 (-97.0%) and $13.52 million in the year ended Dec 31, 2021.
- Quarterly Exchange Rate Effect has moved between -$10.6 million (the quarter ended Dec 31, 2022) and $6.47 million (the quarter ended Dec 31, 2024) over five years.
- Per Business Quant data, RACE's Exchange Rate Effect in the three quarters before the quarter ended Jun 30, 2026 was $2.33 million (quarter ended Mar 31, 2026), -$611,123 (quarter ended Dec 31, 2025) and $505,032 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | -36.00 Mn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 30.00 Mn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 1.80 Mn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | -7.00 Mn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | 537.71 Mn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 367.37 Mn |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn | -4.00 Mn |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn | 2.00 Mn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 116.24 Mn |
| 10 | Li Auto | 11.86 Bn | -37.05 Bn | 417.98 Mn | -40.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.80 Mn |
| Mar 31, 2026 | 2.33 Mn |
| Dec 31, 2025 | -611,122.85 |
| Sep 30, 2025 | 505,031.80 |
| Jun 30, 2025 | -9.51 Mn |
| Mar 31, 2025 | -4.23 Mn |
| Dec 31, 2024 | 6.47 Mn |
| Sep 30, 2024 | -2.56 Mn |
| Jun 30, 2024 | 736,591.10 |
| Mar 31, 2024 | 1.13 Mn |
| Dec 31, 2023 | -3.58 Mn |
| Sep 30, 2023 | 2.56 Mn |
| Jun 30, 2023 | -3.95 Mn |
| Mar 31, 2023 | -3.32 Mn |
| Dec 31, 2022 | -10.60 Mn |
| Sep 30, 2022 | 3.83 Mn |
| Jun 30, 2022 | 4.56 Mn |
| Mar 31, 2022 | 3.03 Mn |
| Dec 31, 2021 | 5.26 Mn |
| Sep 30, 2021 | 3.47 Mn |
API Access
Ferrari Exchange Rate Effect 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=exchange-rate-effect&ticker=RACE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=RACE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();