VinFast Auto (VFS) EBITDA (2022 - 2026)
VinFast Auto's EBITDA was -$791.77 trillion in the quarter ended Mar 31, 2026.
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Analysis
VinFast Auto (VFS) EBITDA (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, VinFast Auto's EBITDA was -$2468.54 trillion through Mar 31, 2026; for the year ended Dec 31, 2025, it was -$69.01 trillion.
- In earlier years, EBITDA was -$45.48 trillion in the year ended Dec 31, 2024, -$30.74 trillion in the year ended Dec 31, 2023, -$34.86 trillion in the year ended Dec 31, 2022 and -$22.19 trillion in the year ended Dec 31, 2021.
- Quarterly EBITDA has moved between -$1362.66 trillion (the quarter ended Sep 30, 2025) and -$6.66 trillion (the quarter ended Dec 31, 2023) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 2.02 Bn |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 2.76 Bn |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 2.50 Bn |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | 4.42 Bn |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 10.70 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 | -599.00 Mn |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 2.67 Bn |
| 10 | VinFast Auto | 7.10 Bn | -773,456.52 Bn | -677,431.76 Bn | -791,775.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -791,775.00 Bn |
| Mar 31, 2025 | -9,280.48 Bn |
| Mar 31, 2024 | 77,441.91 Bn |
| Dec 31, 2023 | -6,658.33 Bn |
| Sep 30, 2023 | -7,171.00 Bn |
| Jun 30, 2023 | -8,227.01 Bn |
| Mar 31, 2023 | -9,751.46 Bn |
| Dec 31, 2022 | -11,501.37 Bn |
| Sep 30, 2022 | -8,040.40 Bn |
API Access
VinFast Auto 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=ebitda&ticker=VFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=VFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();