VinFast Auto (VFS) Accumulated Expenses (2023 - 2026)
VinFast Auto (VFS) recorded Accumulated Expenses of $437.38 trillion in Q2 2026, down 47.0% from the prior quarter.
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Analysis
VinFast Auto (VFS) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, VinFast Auto reported Accumulated Expenses of $738.71 million, up 62.5% from FY2024.
- Across earlier years, Accumulated Expenses came in at $454.53 million in FY2024 (-2.6%) and $466.67 million in FY2023.
- Quarterly Accumulated Expenses has ranged from $454.53 million in Q4 2024 to $824.67 trillion in Q1 2026 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in two of the last four quarters, with an average decline of 5.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,307.17 Bn | 1,141.72 Bn | 4.75 Bn |
| 2 | Ferrari | 149.55 Bn | 142.05 Bn | 1.18 Bn |
| 3 | General Motors | 76.35 Bn | -26.55 Bn | 9.28 Bn |
| 4 | Honda Motor | 51.84 Bn | -96.32 Bn | 8.46 Bn |
| 5 | Ford Motor | 49.35 Bn | -85.03 Bn | 7.38 Bn |
| 6 | Toyota Motor | 25.55 Bn | -375.27 Bn | 20.95 Bn |
| 7 | Rivian Automotive | 19.26 Bn | -2.44 Bn | 176.00 Mn |
| 8 | Magna International | 18.36 Bn | 12.66 Bn | 1.63 Bn |
| 9 | Stellantis | 13.71 Bn | -147.20 Bn | 3.94 Bn |
| 10 | VinFast Auto | 7.37 Bn | -52,307.70 Bn | -755,824.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 437,375.07 Bn |
| Mar 31, 2026 | 824,665.92 Bn |
| Dec 31, 2025 | 738.71 Mn |
| Sep 30, 2025 | 518,545.36 Bn |
| Jun 30, 2025 | 478.00 Mn |
| Mar 31, 2025 | 494,943.83 Bn |
| Dec 31, 2024 | 454.53 Mn |
| Sep 30, 2024 | 436,922.80 Bn |
| Jun 30, 2024 | 385,292.17 Bn |
| Mar 31, 2024 | 439,182.98 Bn |
| Dec 31, 2023 | 466.67 Mn |
| Sep 30, 2023 | 419,321.39 Bn |
| Jun 30, 2023 | 517,108.49 Bn |
API Access
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_KEYimport 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();