VinFast Auto (VFS) Change in Net Loans (2022 - 2026)
VinFast Auto's (VFS) quarterly Change in Net Loans came in at $751.5 billion in Q1 2026, down 8.24% quarter-over-quarter from $819.0 billion in Q3 2025.
VinFast Auto (VFS) Change in Net Loans (2022 - 2026) Analysis & Trends
VinFast Auto (VFS) has reported Change in Net Loans for 5 consecutive years, with $751.5 billion the latest figure, recorded in Q1 2026.
- On a quarterly basis, Change in Net Loans changed N/A year-over-year to $751.5 billion in Q1 2026; TTM through Mar 2026 was $36581.5 billion, a N/A change from a year earlier, with the FY2025 full-year figure at $815.0 billion, up 4532.26% from the prior year.
- Change in Net Loans was $751.5 billion for Q1 2026 at VinFast Auto, down from $819.0 billion in the prior quarter.
- Over five years, Change in Net Loans peaked at $32691.0 billion in Q2 2025 and troughed at $899.0 million in Q3 2022.
- A 5-year average of $5118.8 billion and a median of $801.8 billion in 2022 frame the typical range for Change in Net Loans.
- Across the five-year window, Change in Net Loans jumped 1235.71% in 2023 and tumbled 64.7% in 2025, its largest moves.
- Over 5 years, Change in Net Loans stood at $2430.9 billion in 2022, then surged by 331.11% to $10480.0 billion in 2023, then sank by 77.86% to $2320.0 billion in 2024, then plunged by 64.7% to $819.0 billion in 2025, then retreated by 8.24% to $751.5 billion in 2026.
- The last three Change in Net Loans figures came in at $751.5 billion (Q1 2026), $819.0 billion (Q3 2025), and $32691.0 billion (Q2 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (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 | 29,937.50 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 751.49 Bn |
| Sep 30, 2025 | 818.98 Bn |
| Jun 30, 2025 | 32,691.00 Bn |
| Sep 30, 2024 | 2,320.00 Bn |
| Jun 30, 2023 | 10,480.00 Bn |
| Mar 31, 2023 | 677.90 Bn |
| Dec 31, 2022 | 2,430.91 Bn |
| Sep 30, 2022 | 899.00 Mn |
| Jun 30, 2022 | 784.60 Bn |
| Mar 31, 2022 | 232.40 Bn |
VinFast Auto Change in Net Loans 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=change-in-net-loans&ticker=VFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=VFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();