VinFast Auto (VFS) Cash & Equivalents (2023 - 2026)
VinFast Auto (VFS) reported Cash & Equivalents of $281.02 trillion for Q2 2026, up 28.1% from the prior quarter.
Analysis
VinFast Auto (VFS) Cash & Equivalents (2023 - 2026) Analysis & Trends
At the end of FY2025, VinFast Auto posted Cash & Equivalents of $292.66 million, up 115.4% from FY2024.
- By year, Cash & Equivalents came in at $135.89 million in FY2024 (-19.0%) and $167.7 million in FY2023.
- Five-year quarterly Cash & Equivalents spans a low of $135.89 million in Q4 2024 and a high of $349.39 trillion in Q2 2025.
- Year over year, Cash & Equivalents gained in two of the last four quarters, with growth averaging 85.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 17.85 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 23.20 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 1.96 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 22.28 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 32.71 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 60.26 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | 3.51 Bn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 1.38 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | 32.94 Bn |
| 10 | VinFast Auto | 7.59 Bn | -1,239,610.03 Bn | -755,824.25 Bn | 281,018.96 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 281,018.96 Bn |
| Mar 31, 2026 | 219,323.96 Bn |
| Dec 31, 2025 | 292.66 Mn |
| Sep 30, 2025 | 349,389.01 Bn |
| Jun 30, 2025 | 549.76 Mn |
| Mar 31, 2025 | 96,572.01 Bn |
| Dec 31, 2024 | 135.89 Mn |
| Sep 30, 2024 | 78,545.97 Bn |
| Jun 30, 2024 | 98,192.25 Bn |
| Mar 31, 2024 | 123,289.42 Bn |
| Dec 31, 2023 | 167.70 Mn |
| Sep 30, 2023 | 130,959.07 Bn |
| Jun 30, 2023 | 67,254.33 Bn |
API Access
VinFast Auto Cash & Equivalents 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=cash-and-equivalents&ticker=VFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();