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.
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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 | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 50.59 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 54.80 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 2.45 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 41.55 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 22.93 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 108.95 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | 5.61 Bn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 8.78 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | 53.43 Bn |
| 10 | Xpeng | 9.74 Bn | 9.74 Bn | 599.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.52 Bn |
| Dec 31, 2025 | 1.93 Bn |
| Sep 30, 2025 | 1.73 Bn |
| Mar 31, 2025 | 1.57 Bn |
| Dec 31, 2024 | 1.58 Bn |
| Sep 30, 2024 | 1.63 Bn |
| Mar 31, 2024 | 1.48 Bn |
| Dec 31, 2023 | 1.54 Bn |
| Sep 30, 2023 | 1.49 Bn |
| Mar 31, 2023 | 1.58 Bn |
| Dec 31, 2022 | 1.52 Bn |
| Sep 30, 2022 | 1.31 Bn |
| Mar 31, 2022 | 971.29 Mn |
| Dec 31, 2021 | 851.33 Mn |
| Sep 30, 2021 | 706.37 Mn |
| Jun 30, 2021 | 579.07 Mn |
| Mar 31, 2021 | 484.50 Mn |
| Dec 31, 2020 | 472.46 Mn |
| Sep 30, 2020 | 457.69 Mn |
| Dec 31, 2019 | 462.37 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();