VinFast Auto (VFS) Asset Utilization Ratio (2023 - 2026)
VinFast Auto's (VFS) Asset Utilization Ratio stood at 1.37 in the quarter ended Mar 31, 2026, up 19.5% from the prior quarter.
Analysis
VinFast Auto (VFS) Asset Utilization Ratio (2023 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, VinFast Auto's Asset Utilization Ratio came in at 0.03, up 97.8% from the prior year.
- Across earlier years, Asset Utilization Ratio came in at 0.01 in the year ended Dec 31, 2024 (-93.2%), 0.20 in the year ended Dec 31, 2023 (+62.5%) and 0.12 in the year ended Dec 31, 2022.
- The figure for the quarter ended Mar 31, 2026 is the highest quarterly Asset Utilization Ratio in data going back to the quarter ended Mar 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,216.24 Bn | 1,042.27 Bn | 4.75 Bn | 0.71 |
| 2 | General Motors | 75.35 Bn | -31.16 Bn | 7.33 Bn | 0.66 |
| 3 | Ferrari | 69.70 Bn | 62.19 Bn | 1.18 Bn | 0.73 |
| 4 | Ford Motor | 48.22 Bn | -94.27 Bn | 6.08 Bn | 0.66 |
| 5 | Honda Motor | 44.40 Bn | -105.41 Bn | 8.46 Bn | 0.69 |
| 6 | Toyota Motor | 24.11 Bn | -382.39 Bn | 20.95 Bn | 0.50 |
| 7 | Magna International | 18.41 Bn | 12.44 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 17.72 Bn | -5.59 Bn | 179.00 Mn | 0.40 |
| 9 | Stellantis | 12.89 Bn | -151.76 Bn | 5.55 Bn | 0.73 |
| 10 | VinFast Auto | 7.10 Bn | -773,456.52 Bn | -677,431.76 Bn | 1.05 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.03 |
| Dec 31, 2025 | 0.80 |
| Sep 30, 2025 | 0.38 |
| Jun 30, 2025 | 0.22 |
| Mar 31, 2025 | 0.02 |
| Dec 31, 2024 | 0.01 |
| Sep 30, 2024 | 0.01 |
| Jun 30, 2024 | 0.01 |
| Mar 31, 2024 | 0.01 |
| Dec 31, 2023 | 0.01 |
| Sep 30, 2023 | 0.00 |
| Jun 30, 2023 | 0.00 |
| Mar 31, 2023 | 0.00 |
API Access
VinFast Auto Asset Utilization Ratio 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=asset-utilization-ratio&ticker=VFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=VFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();