VinFast Auto (VFS) Operating Leases (2021 - 2026)
VinFast Auto's (VFS) quarterly Operating Leases came in at $5703.1 billion in Q1 2026, up 52.21% year-over-year from $3746.7 billion in Q1 2025, and down 19.92% quarter-over-quarter from $7121.8 billion in Q4 2025.
VinFast Auto (VFS) Operating Leases (2021 - 2026) Analysis & Trends
VinFast Auto (VFS) has reported Operating Leases for 6 consecutive years, with $5703.1 billion the latest figure, recorded in Q1 2026.
- On a quarterly basis, Operating Leases rose 52.21% year-over-year to $5703.1 billion in Q1 2026; TTM through Mar 2026 was $5703.1 billion, a 52.21% increase from a year earlier, with the FY2025 full-year figure at $7121.8 billion, up 20.52% from the prior year.
- Operating Leases was $5703.1 billion for Q1 2026 at VinFast Auto, down from $7121.8 billion in the prior quarter.
- Over five years, Operating Leases peaked at $127044.3 billion in Q2 2025 and troughed at $2683.6 billion in Q3 2025.
- A 5-year average of $13623.6 billion and a median of $5131.3 billion in 2023 frame the typical range for Operating Leases.
- The widest YoY moves for Operating Leases: up 2527.78% in 2025, down 40.3% in 2025.
- Over 5 years, Operating Leases stood at $3256.4 billion in 2022, then surged by 63.64% to $5328.8 billion in 2023, then increased by 10.89% to $5909.1 billion in 2024, then grew by 20.52% to $7121.8 billion in 2025, then dropped by 19.92% to $5703.1 billion in 2026.
- The last three Operating Leases figures came in at $5703.1 billion (Q1 2026), $7121.8 billion (Q4 2025), and $2683.6 billion (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn |
| 10 | VinFast Auto | 7.56 Bn | 3,644,847.93 Bn | -677,431.76 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5,703.11 Bn |
| Dec 31, 2025 | 7,121.84 Bn |
| Sep 30, 2025 | 2,683.64 Bn |
| Jun 30, 2025 | 127,044.27 Bn |
| Mar 31, 2025 | 3,746.75 Bn |
| Dec 31, 2024 | 5,909.11 Bn |
| Sep 30, 2024 | 4,494.98 Bn |
| Jun 30, 2024 | 4,834.66 Bn |
| Mar 31, 2024 | 5,171.22 Bn |
| Dec 31, 2023 | 5,328.85 Bn |
| Sep 30, 2023 | 5,035.17 Bn |
| Jun 30, 2023 | 5,091.29 Bn |
| Mar 31, 2023 | 5,309.45 Bn |
| Dec 31, 2022 | 3,256.35 Bn |
| Dec 31, 2021 | 1,298.35 Bn |
VinFast Auto Operating Leases 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-leases&ticker=VFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=VFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();