Xpeng (XPEV) Exchange Rate Effect (2019 - 2021)
Xpeng's Exchange Rate Effect was $31.39 million in FY2025, up 530.9% from $4.98 million in FY2024.
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Analysis
Xpeng (XPEV) Exchange Rate Effect (2019 - 2021) Analysis & Trends
From FY2018 onward, Xpeng has reported Exchange Rate Effect for 8 years.
- The FY2025 figure marks the highest annual Exchange Rate Effect since FY2022.
- Per Business Quant data, Exchange Rate Effect in earlier years was $4.98 million in FY2024, -$2.02 million in FY2023, $448.89 million in FY2022 and -$142.35 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | -36.00 Mn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 367.37 Mn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 537.71 Mn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 30.00 Mn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 1.80 Mn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | -7.00 Mn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 2.00 Mn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | -4.00 Mn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 116.24 Mn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | -58.50 Mn |
| Mar 31, 2021 | 15.43 Mn |
| Dec 31, 2020 | -86.72 Mn |
| Sep 30, 2020 | -21.09 Mn |
| Jun 30, 2020 | -483,099.47 |
| Mar 31, 2020 | -1.72 Mn |
| Dec 31, 2019 | -1.05 Mn |
| Sep 30, 2019 | 4.37 Mn |
API Access
Xpeng 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=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "XPEV", "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=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();