VinFast Auto (VFS) Intangibles (2022 - 2026)
VinFast Auto's (VFS) quarterly Intangibles came in at $1170.3 billion in Q1 2026, up 8.77% year-over-year from $1075.9 billion in Q1 2025, and down 94.33% quarter-over-quarter from $20628.2 billion in Q4 2025.
VinFast Auto (VFS) Intangibles (2022 - 2026) Analysis & Trends
VinFast Auto (VFS) has reported Intangibles for 5 consecutive years, with $1170.3 billion the latest figure, recorded in Q1 2026.
- On a quarterly basis, Intangibles rose 8.77% year-over-year to $1170.3 billion in Q1 2026; TTM through Mar 2026 was $1170.3 billion, a 8.77% increase from a year earlier, with the FY2025 full-year figure at $20628.2 billion, down 34.03% from the prior year.
- Intangibles was $1170.3 billion for Q1 2026 at VinFast Auto, down from $20628.2 billion in the prior quarter.
- Over five years, Intangibles peaked at $41071.3 billion in Q2 2025 and troughed at $1057.6 billion in Q3 2025.
- A 5-year average of $11972.9 billion and a median of $1515.0 billion in 2023 frame the typical range for Intangibles.
- The widest YoY moves for Intangibles: up 3259.55% in 2025, down 34.03% in 2025.
- Over 5 years, Intangibles stood at $27127.1 billion in 2022, then decreased by 6.02% to $25495.1 billion in 2023, then advanced by 22.65% to $31270.7 billion in 2024, then slumped by 34.03% to $20628.2 billion in 2025, then slumped by 94.33% to $1170.3 billion in 2026.
- The last three Intangibles figures came in at $1170.3 billion (Q1 2026), $20628.2 billion (Q4 2025), and $1057.6 billion (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | 674.00 Mn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | - |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | 1.98 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 | 430.00 Mn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | 18.36 Bn |
| 10 | VinFast Auto | 7.56 Bn | 3,644,847.93 Bn | -677,431.76 Bn | 46,622.50 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1,170.32 Bn |
| Dec 31, 2025 | 20,628.23 Bn |
| Sep 30, 2025 | 1,057.65 Bn |
| Jun 30, 2025 | 41,071.33 Bn |
| Mar 31, 2025 | 1,075.91 Bn |
| Dec 31, 2024 | 31,270.70 Bn |
| Sep 30, 2024 | 1,170.47 Bn |
| Jun 30, 2024 | 1,222.53 Bn |
| Mar 31, 2024 | 1,307.72 Bn |
| Dec 31, 2023 | 25,495.15 Bn |
| Sep 30, 2023 | 1,535.18 Bn |
| Jun 30, 2023 | 1,515.01 Bn |
| Dec 31, 2022 | 27,127.06 Bn |
VinFast Auto Intangibles 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=intangibles&ticker=VFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=VFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();