VinFast Auto (VFS) EV to EBITDA (2024 - 2025)
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Analysis
VinFast Auto (VFS) EV to EBITDA (2024 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn |
| 10 | VinFast Auto | 7.10 Bn | -773,456.52 Bn | -677,431.76 Bn |
API Access
VinFast Auto EV to EBITDA 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=ev-to-ebitda&ticker=VFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=VFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();