VinFast Auto (VFS) Accumulated Expenses (2021 - 2026)
VinFast Auto's (VFS) quarterly Accumulated Expenses came in at $20700.8 billion in Q1 2026, up 68.4% year-over-year from $12292.9 billion in Q1 2025, and up 624.33% quarter-over-quarter from $2857.9 billion in Q4 2025.
VinFast Auto (VFS) Accumulated Expenses (2021 - 2026) Analysis & Trends
VinFast Auto (VFS) has reported Accumulated Expenses for 6 consecutive years, with $20700.8 billion the latest figure, recorded in Q1 2026.
- On a quarterly basis, Accumulated Expenses rose 68.4% year-over-year to $20700.8 billion in Q1 2026; TTM through Mar 2026 was $20700.8 billion, a 68.4% increase from a year earlier, with the FY2025 full-year figure at $2857.9 billion, up 767.97% from the prior year.
- Accumulated Expenses was $20700.8 billion for Q1 2026 at VinFast Auto, up from $2857.9 billion in the prior quarter.
- Over five years, Accumulated Expenses peaked at $477997.8 billion in Q2 2025 and troughed at $16.0 billion in Q4 2022.
- A 5-year average of $42268.9 billion and a median of $10534.2 billion in 2024 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses plunged 99.61% in 2022 and surged 5013.81% in 2025, its largest moves.
- Over 5 years, Accumulated Expenses stood at $16.0 billion in 2022, then jumped by 673.83% to $123.9 billion in 2023, then soared by 165.82% to $329.3 billion in 2024, then soared by 767.97% to $2857.9 billion in 2025, then soared by 624.33% to $20700.8 billion in 2026.
- The last three Accumulated Expenses figures came in at $20700.8 billion (Q1 2026), $2857.9 billion (Q4 2025), and $13060.6 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 | 20,700.76 Bn |
| Dec 31, 2025 | 2,857.93 Bn |
| Sep 30, 2025 | 13,060.60 Bn |
| Jun 30, 2025 | 477,997.81 Bn |
| Mar 31, 2025 | 12,292.92 Bn |
| Dec 31, 2024 | 329.27 Bn |
| Sep 30, 2024 | 10,526.78 Bn |
| Jun 30, 2024 | 9,347.19 Bn |
| Mar 31, 2024 | 10,541.71 Bn |
| Dec 31, 2023 | 123.87 Bn |
| Sep 30, 2023 | 10,101.03 Bn |
| Jun 30, 2023 | 12,307.18 Bn |
| Mar 31, 2023 | 11,561.28 Bn |
| Dec 31, 2022 | 16.01 Bn |
| Dec 31, 2021 | 4,119.07 Bn |
VinFast Auto Accumulated Expenses 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=accumulated-expenses&ticker=VFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();