Xpeng (XPEV) Property, Plant & Equipment (Net) (2019 - 2026)
Xpeng (XPEV) reported Property, Plant & Equipment (Net) of $2.63 billion for Q2 2026, up 59.7% from $1.64 billion a year earlier and up 3.9% from the prior quarter.
Powered by 
Analysis
Xpeng (XPEV) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, Xpeng posted Property, Plant & Equipment (Net) of $1.91 billion, up 18.9% from FY2024.
- Property, Plant & Equipment (Net) has increased for six consecutive years, with a five-year compound annual growth rate of 32.2% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $1.6 billion in FY2024 (+5.4%), $1.52 billion in FY2023 (+2.0%), $1.49 billion in FY2022 (+77.3%) and $841.02 million in FY2021 (+78.1%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2019.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last eight quarters, with growth averaging 22.5% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2022 (growth of 100.7%); the low point was Q2 2024 (a decline of 7.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.53 billion (Q1 2026), $1.91 billion (Q4 2025) and $1.73 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 47.26 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 108.89 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 23.29 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 53.32 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 2.50 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 39.96 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 5.56 Bn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | 8.85 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 53.62 Bn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn | 2.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.63 Bn |
| Mar 31, 2026 | 2.53 Bn |
| Dec 31, 2025 | 1.91 Bn |
| Sep 30, 2025 | 1.73 Bn |
| Jun 30, 2025 | 1.64 Bn |
| Mar 31, 2025 | 1.57 Bn |
| Dec 31, 2024 | 1.60 Bn |
| Sep 30, 2024 | 1.63 Bn |
| Jun 30, 2024 | 1.45 Bn |
| Mar 31, 2024 | 1.48 Bn |
| Dec 31, 2023 | 1.52 Bn |
| Sep 30, 2023 | 1.50 Bn |
| Jun 30, 2023 | 1.57 Bn |
| Mar 31, 2023 | 1.58 Bn |
| Dec 31, 2022 | 1.49 Bn |
| Sep 30, 2022 | 1.32 Bn |
| Jun 30, 2022 | 1.11 Bn |
| Mar 31, 2022 | 972.35 Mn |
| Dec 31, 2021 | 848.49 Mn |
| Sep 30, 2021 | 706.37 Mn |
API Access
Xpeng Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();