VinFast Auto (VFS) Operating Margin (2022 - 2026)
VinFast Auto (VFS) posted Operating Margin of -98.92% for the quarter ended Mar 31, 2026, down 25.23 percentage points from the prior quarter.
VinFast Auto (VFS) Operating Margin (2022 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Margin at VinFast Auto was -82.67%; for the year ended Dec 31, 2025, it came in at -106.52%, up 11.68 percentage points from the prior year.
- Annual Operating Margin has increased for three consecutive years, with a four-year change of +62.36 percentage points (years ended Dec 2021 to Dec 2025).
- In prior years, VinFast Auto's Operating Margin was -118.20% in the year ended Dec 31, 2024 (+32.32 pp), -150.52% in the year ended Dec 31, 2023 (+169.39 pp), -319.91% in the year ended Dec 31, 2022 (-151.04 pp) and -168.87% in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 stands as the lowest quarterly Operating Margin since the quarter ended Dec 31, 2024.
- On a year-over-year basis, Operating Margin increased in three of the last four quarters, with an average year-over-year change of +44.01 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was the quarter ended Jun 30, 2023, with a gain of 212.11 percentage points; the weakest was the quarter ended Mar 31, 2023, with a drop of 350.69 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 1.41% |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 3.04% |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 31.22% |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 1.32% |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | 8.76% |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 7.86% |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn | 12.19% |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn | -50.42% |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 1.61% |
| 10 | VinFast Auto | 7.10 Bn | -773,456.52 Bn | -677,431.76 Bn | -98.92% |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -98.92% |
| Dec 31, 2025 | -73.69% |
| Sep 30, 2025 | -96.06% |
| Jun 30, 2025 | -78.99% |
| Mar 31, 2025 | -73.96% |
| Dec 31, 2024 | -144.59% |
| Sep 30, 2024 | -65.89% |
| Jun 30, 2024 | -154.51% |
| Mar 31, 2024 | -153.68% |
| Dec 31, 2023 | -123.42% |
| Sep 30, 2023 | -111.25% |
| Jun 30, 2023 | -123.44% |
| Mar 31, 2023 | -558.78% |
| Dec 31, 2022 | -287.11% |
| Sep 30, 2022 | -308.71% |
| Jun 30, 2022 | -335.55% |
| Mar 31, 2022 | -208.09% |
VinFast Auto Operating Margin 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=operating-margin&ticker=VFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=VFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();