Ferrari (RACE) Exchange Rate Effect (2014 - 2026)
Ferrari's (RACE) quarterly Exchange Rate Effect came in at $1.8 million in Q2 2026, up 118.89% year-over-year from $820965.2 in Q2 2025, and down 22.79% quarter-over-quarter from $2.3 million in Q1 2026.
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Analysis
Ferrari (RACE) Exchange Rate Effect (2014 - 2026) Analysis & Trends
Ferrari (RACE) has reported Exchange Rate Effect for 13 consecutive years, with $1.8 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Exchange Rate Effect rose 118.89% year-over-year to $1.8 million in Q2 2026; TTM through Jun 2026 was $4.0 million, a 140.87% increase from a year earlier, with the FY2025 full-year figure at -$14.6 million, down 347.04% from the prior year.
- Exchange Rate Effect was $1.8 million for Q2 2026 at Ferrari, down from $2.3 million in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $6.5 million in Q4 2024 and troughed at -$10.6 million in Q4 2022.
- A 5-year average of -$634102.4 and a median of $620811.5 in 2025 frame the typical range for Exchange Rate Effect.
- Across the five-year window, Exchange Rate Effect surged 602.81% in 2022 and slumped 1391.49% in 2025, its largest moves.
- Over 5 years, Exchange Rate Effect stood at -$10.6 million in 2022, then soared by 66.25% to -$3.6 million in 2023, then soared by 280.81% to $6.5 million in 2024, then plunged by 109.44% to -$611122.8 in 2025, then jumped by 394.05% to $1.8 million in 2026.
- The last three Exchange Rate Effect figures came in at $1.8 million (Q2 2026), $2.3 million (Q1 2026), and -$611122.8 (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 647.47 Bn | 631.49 Bn | 5.90 Bn | - |
| 2 | General Electric | 325.83 Bn | 316.71 Bn | 6.95 Bn | -11.00 Mn |
| 3 | Astrazeneca | 257.75 Bn | 252.54 Bn | 12.86 Bn | 9.00 Mn |
| 4 | Citigroup | 221.04 Bn | -2,078.84 Bn | 24.75 Bn | - |
| 5 | Bhp | 219.16 Bn | 200.62 Bn | - | - |
| 6 | Diageo | 208.21 Bn | 208.26 Bn | - | - |
| 7 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 8 | Ferrari | 151.21 Bn | 149.46 Bn | 1.18 Bn | 1.80 Mn |
| 9 | Unilever | 134.81 Bn | 130.23 Bn | - | - |
| 10 | Hdfc Bank | 118.79 Bn | 92.50 Bn | - | - |
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();