VinFast Auto (VFS) Exchange Rate Effect (2022 - 2026)
VinFast Auto's (VFS) quarterly Exchange Rate Effect came in at $693.9 billion in Q1 2026, up 376.35% year-over-year from $145.7 billion in Q1 2025, and up 234.46% quarter-over-quarter from -$516.1 billion in Q3 2025.
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Analysis
VinFast Auto (VFS) Exchange Rate Effect (2022 - 2026) Analysis & Trends
VinFast Auto (VFS) has reported Exchange Rate Effect for 5 consecutive years, with $693.9 billion the latest figure, recorded in Q1 2026.
- On a quarterly basis, Exchange Rate Effect rose 376.35% year-over-year to $693.9 billion in Q1 2026; TTM through Mar 2026 was -$340.2 billion, a 161.83% decrease from a year earlier, with the FY2025 full-year figure at $8385.3 billion, up 11314.79% from the prior year.
- Exchange Rate Effect was $693.9 billion for Q1 2026 at VinFast Auto, up from -$516.1 billion in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $693.9 billion in Q1 2026 and troughed at -$516.1 billion in Q3 2025.
- A 5-year average of -$34.4 billion and a median of -$14.6 billion in 2023 frame the typical range for Exchange Rate Effect.
- Across the five-year window, Exchange Rate Effect sank 627.09% in 2023 and jumped 635.83% in 2024, its largest moves.
- Over 5 years, Exchange Rate Effect stood at -$39.5 billion in 2022, then slumped by 627.09% to -$287.0 billion in 2023, then surged by 146.27% to $132.8 billion in 2024, then plunged by 488.64% to -$516.1 billion in 2025, then surged by 234.46% to $693.9 billion in 2026.
- The last three Exchange Rate Effect figures came in at $693.9 billion (Q1 2026), -$516.1 billion (Q3 2025), and -$266.9 billion (Q2 2025), per Business Quant data.
Peer Set
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 | VinFast Auto | 7.56 Bn | 3,644,847.93 Bn | -677,431.76 Bn | 27,644.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 693.93 Bn |
| Sep 30, 2025 | -516.10 Bn |
| Jun 30, 2025 | -266.91 Bn |
| Mar 31, 2025 | -251.11 Bn |
| Sep 30, 2024 | 132.80 Bn |
| Jun 30, 2024 | -78.34 Bn |
| Mar 31, 2024 | 66.73 Bn |
| Dec 31, 2023 | -286.98 Bn |
| Sep 30, 2023 | 18.05 Bn |
| Jun 30, 2023 | 17.25 Bn |
| Mar 31, 2023 | -14.65 Bn |
| Dec 31, 2022 | -39.47 Bn |
| Sep 30, 2022 | 4.78 Bn |
| Jun 30, 2022 | -26.80 Bn |
| Mar 31, 2022 | 30.28 Bn |
API Access
VinFast Auto 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=VFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "VFS", "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=VFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();