Nio (NIO) Exchange Rate Effect (2017 - 2021)
Nio (NIO) recorded quarterly Exchange Rate Effect of -$81.6 million in Q4 2021, up 8.46% on a QoQ basis from -$89.1 million in Q4 2020, and up 8.46% YoY from -$75.2 million in Q4 2020.
Nio (NIO) Exchange Rate Effect (2017 - 2021) Analysis & Trends
Nio (NIO) has reported Exchange Rate Effect for 5 consecutive years, with -$81.6 million the latest figure, recorded in Q4 2021.
- For the quarter ending Q4 2021, Exchange Rate Effect rose 8.46% year-over-year to -$81.6 million; the trailing twelve-month figure through Dec 2021 stood at -$166.6 million (down 76.83% YoY), and the FY2025 full-year result was -$2.3 million, down 110.53% from the prior year.
- Exchange Rate Effect was -$81.6 million for Q4 2021 at Nio, up from -$89.1 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $4.3 million in Q4 2018, with the low at -$89.1 million in Q4 2020.
- Historically, Exchange Rate Effect has averaged -$35.2 million across 5 years, with a median of -$9.2 million in 2017.
- Annual changes were most pronounced in 2018 — Exchange Rate Effect soared 146.56% — and 2020, when it tumbled 50691.98%.
- Tracing NIO's Exchange Rate Effect over 5 years: stood at -$9.2 million in 2017, then surged by 146.56% to $4.3 million in 2018, then plunged by 104.1% to -$175506.5 in 2019, then sank by 50691.98% to -$89.1 million in 2020, then gained by 8.46% to -$81.6 million in 2021.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were -$81.6 million in Q4 2021, -$89.1 million in Q4 2020, and -$175506.5 in Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | -36.00 Mn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | 367.37 Mn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | 1.80 Mn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | 870.87 Mn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn | 30.00 Mn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn | -7.00 Mn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn | 2.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | -4.00 Mn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | 116.24 Mn |
| 10 | Nio | 9.18 Bn | 2.85 Bn | 870.51 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -81.60 Mn |
| Dec 31, 2020 | -89.14 Mn |
| Dec 31, 2019 | -175,506.51 |
| Dec 31, 2018 | 4.28 Mn |
| Dec 31, 2017 | -9.20 Mn |
Nio 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=NIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "NIO", "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=NIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();