VinFast Auto (VFS) Receivables (2022 - 2026)
VinFast Auto's (VFS) quarterly Receivables came in at $9617.6 billion in Q1 2026, up 28.75% year-over-year from $7470.2 billion in Q1 2025, and up 25.56% quarter-over-quarter from $7659.9 billion in Q4 2025.
VinFast Auto (VFS) Receivables (2022 - 2026) Analysis & Trends
VinFast Auto (VFS) has reported Receivables for 5 consecutive years, with $9617.6 billion the latest figure, recorded in Q1 2026.
- On a quarterly basis, Receivables rose 28.75% year-over-year to $9617.6 billion in Q1 2026; TTM through Mar 2026 was $9617.6 billion, a 28.75% increase from a year earlier, with the FY2025 full-year figure at $7659.9 billion, up 36.57% from the prior year.
- Receivables was $9617.6 billion for Q1 2026 at VinFast Auto, up from $7659.9 billion in the prior quarter.
- Over five years, Receivables peaked at $244354.3 billion in Q2 2025 and troughed at $653.0 billion in Q4 2022.
- A 5-year average of $23848.7 billion and a median of $5844.6 billion in 2024 frame the typical range for Receivables.
- Across the five-year window, Receivables advanced 17.61% in 2024 and soared 3508.26% in 2025, its largest moves.
- Over 5 years, Receivables stood at $653.0 billion in 2022, then soared by 376.78% to $3113.3 billion in 2023, then surged by 80.15% to $5608.7 billion in 2024, then soared by 36.57% to $7659.9 billion in 2025, then grew by 25.56% to $9617.6 billion in 2026.
- The last three Receivables figures came in at $9617.6 billion (Q1 2026), $7659.9 billion (Q4 2025), and $9319.8 billion (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,226.50 Bn | 1,183.58 Bn | 4.75 Bn | 4.09 Bn |
| 2 | Toyota Motor | 250.64 Bn | 172.66 Bn | 12.27 Bn | 113.60 Bn |
| 3 | Ferrari | 153.43 Bn | 151.68 Bn | 1.18 Bn | 539.53 Mn |
| 4 | Honda Motor | 147.05 Bn | 108.59 Bn | 8.46 Bn | 7.19 Bn |
| 5 | General Motors | 73.24 Bn | 50.16 Bn | 7.33 Bn | 16.77 Bn |
| 6 | Ford Motor | 51.31 Bn | 20.01 Bn | 6.08 Bn | 17.88 Bn |
| 7 | Rivian Automotive | 20.62 Bn | 15.33 Bn | 179.00 Mn | 370.00 Mn |
| 8 | Magna International | 17.88 Bn | 16.79 Bn | 1.61 Bn | 8.38 Bn |
| 9 | Stellantis | 14.02 Bn | -29.10 Bn | 5.55 Bn | 8.65 Bn |
| 10 | VinFast Auto | 7.56 Bn | 3,644,847.93 Bn | -677,431.76 Bn | 383,139.51 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9,617.57 Bn |
| Dec 31, 2025 | 7,659.94 Bn |
| Sep 30, 2025 | 9,319.83 Bn |
| Jun 30, 2025 | 244,354.26 Bn |
| Mar 31, 2025 | 7,470.18 Bn |
| Dec 31, 2024 | 5,608.67 Bn |
| Sep 30, 2024 | 5,844.58 Bn |
| Jun 30, 2024 | 6,772.08 Bn |
| Mar 31, 2024 | 3,902.95 Bn |
| Dec 31, 2023 | 3,113.33 Bn |
| Sep 30, 2023 | 4,969.37 Bn |
| Jun 30, 2023 | 747.47 Bn |
| Dec 31, 2022 | 652.99 Bn |
VinFast Auto Receivables 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=receivables&ticker=VFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=VFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();