VinFast Auto (VFS) Prepaid Assets (2022 - 2026)
VinFast Auto's (VFS) quarterly Prepaid Assets came in at $15805.1 billion in Q1 2026, up 29.19% year-over-year from $12233.7 billion in Q1 2025, and up 7.75% quarter-over-quarter from $14668.8 billion in Q4 2025.
VinFast Auto (VFS) Prepaid Assets (2022 - 2026) Analysis & Trends
VinFast Auto (VFS) has reported Prepaid Assets for 5 consecutive years, with $15805.1 billion the latest figure, recorded in Q1 2026.
- On a quarterly basis, Prepaid Assets rose 29.19% year-over-year to $15805.1 billion in Q1 2026; TTM through Mar 2026 was $15805.1 billion, a 29.19% increase from a year earlier, with the FY2025 full-year figure at $14668.8 billion, up 7.03% from the prior year.
- Prepaid Assets was $15805.1 billion for Q1 2026 at VinFast Auto, up from $14668.8 billion in the prior quarter.
- Over five years, Prepaid Assets peaked at $633090.9 billion in Q2 2025 and troughed at $6497.8 billion in Q4 2022.
- A 5-year average of $58438.9 billion and a median of $9571.6 billion in 2024 frame the typical range for Prepaid Assets.
- The widest YoY moves for Prepaid Assets: up 7285.98% in 2025, down 7.03% in 2025.
- Over 5 years, Prepaid Assets stood at $6497.8 billion in 2022, then advanced by 13.85% to $7397.9 billion in 2023, then soared by 85.25% to $13704.7 billion in 2024, then advanced by 7.03% to $14668.8 billion in 2025, then climbed by 7.75% to $15805.1 billion in 2026.
- The last three Prepaid Assets figures came in at $15805.1 billion (Q1 2026), $14668.8 billion (Q4 2025), and $16225.7 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 | 15,805.13 Bn |
| Dec 31, 2025 | 14,668.77 Bn |
| Sep 30, 2025 | 16,225.69 Bn |
| Jun 30, 2025 | 633,090.93 Bn |
| Mar 31, 2025 | 12,233.73 Bn |
| Dec 31, 2024 | 13,704.69 Bn |
| Sep 30, 2024 | 9,571.56 Bn |
| Jun 30, 2024 | 8,571.52 Bn |
| Mar 31, 2024 | 8,383.79 Bn |
| Dec 31, 2023 | 7,397.85 Bn |
| Sep 30, 2023 | 6,875.28 Bn |
| Jun 30, 2023 | 6,678.59 Bn |
| Dec 31, 2022 | 6,497.76 Bn |
VinFast Auto Prepaid Assets 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=prepaid-assets&ticker=VFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=VFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();