Xpeng (XPEV) Other Operating Expenses (2024 - 2026)
Xpeng's Other Operating Expenses was $27.25 million in Q2 2026, down 28.1% from $37.89 million a year earlier and down 19.4% from the prior quarter.
Xpeng (XPEV) Other Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xpeng's Other Operating Expenses was $196.27 million through Jun 30, 2026, up 103.3% year-over-year; for FY2025, it was $235.11 million.
- Quarterly Other Operating Expenses has moved between $9.29 million (Q3 2025) and $125.9 million (Q4 2025) over five years.
- Per Business Quant data, XPEV's Other Operating Expenses in the three quarters before Q2 2026 was $33.83 million (Q1 2026), $125.9 million (Q4 2025) and $9.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,285.28 Bn | 1,111.31 Bn | 4.75 Bn |
| 2 | General Motors | 76.82 Bn | -27.79 Bn | 9.28 Bn |
| 3 | Ferrari | 73.93 Bn | 66.42 Bn | 1.18 Bn |
| 4 | Ford Motor | 48.66 Bn | -85.75 Bn | 7.38 Bn |
| 5 | Honda Motor | 45.38 Bn | -104.43 Bn | 8.46 Bn |
| 6 | Toyota Motor | 25.28 Bn | -381.22 Bn | 20.95 Bn |
| 7 | Rivian Automotive | 19.20 Bn | -2.52 Bn | 176.00 Mn |
| 8 | Magna International | 17.77 Bn | 11.74 Bn | 1.63 Bn |
| 9 | Stellantis | 13.03 Bn | -148.41 Bn | 3.94 Bn |
| 10 | Xpeng | 9.20 Bn | 9.20 Bn | 599.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -27.16 Mn |
| Mar 31, 2026 | -33.69 Mn |
| Dec 31, 2025 | -124.14 Mn |
| Sep 30, 2025 | -9.29 Mn |
| Jun 30, 2025 | -37.52 Mn |
| Mar 31, 2025 | -58.58 Mn |
| Dec 31, 2024 | -55.84 Mn |
| Sep 30, 2024 | 17.06 Mn |
| Jun 30, 2024 | -40.82 Mn |
| Mar 31, 2024 | -34.85 Mn |
Xpeng Other Operating Expenses 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=other-operating-expenses&ticker=XPEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();