Xpeng (XPEV) Inventory (2019 - 2026)
Xpeng's Inventory came in at $2.02 billion for Q2 2026, up 120.9% from $912.88 million a year earlier and up 4.6% from the prior quarter.
Powered by 
Analysis
Xpeng (XPEV) Inventory (2019 - 2026) Analysis & Trends
At the end of FY2025, Xpeng's Inventory was $1.46 billion, up 89.0% from FY2024.
- Inventory has increased in each of the last six years, with a five-year compound annual growth rate of 48.0% (FY2020 to FY2025).
- Going back by year, Inventory was $774.45 million in FY2024 (+0.9%), $767.52 million in FY2023 (+20.7%), $635.72 million in FY2022 (+54.0%) and $412.69 million in FY2021 (+100.5%).
- The Q2 2026 figure represents the highest quarterly Inventory in data going back to Q4 2019.
- Year-over-year, Inventory has increased for five consecutive quarters, with growth averaging 53.7% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q3 2021 (growth of 182.4%), and the weakest in Q2 2023 (a decline of 23.4%).
- Business Quant data shows XPEV's Inventory at $1.93 billion (Q1 2026), $1.46 billion (Q4 2025) and $1.3 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 13.75 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 34.32 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 16.00 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 15.95 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 1.44 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 16.95 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 1.66 Bn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | 4.01 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 27.88 Bn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn | 2.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.02 Bn |
| Mar 31, 2026 | 1.93 Bn |
| Dec 31, 2025 | 1.46 Bn |
| Sep 30, 2025 | 1.30 Bn |
| Jun 30, 2025 | 912.88 Mn |
| Mar 31, 2025 | 822.54 Mn |
| Dec 31, 2024 | 774.45 Mn |
| Sep 30, 2024 | 875.29 Mn |
| Jun 30, 2024 | 768.84 Mn |
| Mar 31, 2024 | 850.47 Mn |
| Dec 31, 2023 | 767.52 Mn |
| Sep 30, 2023 | 724.72 Mn |
| Jun 30, 2023 | 492.61 Mn |
| Mar 31, 2023 | 629.72 Mn |
| Dec 31, 2022 | 635.72 Mn |
| Sep 30, 2022 | 615.45 Mn |
| Jun 30, 2022 | 642.93 Mn |
| Mar 31, 2022 | 579.01 Mn |
| Dec 31, 2021 | 416.35 Mn |
| Sep 30, 2021 | 358.04 Mn |
API Access
Xpeng Inventory 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=inventory&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "XPEV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();