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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.25 Mn |
| Mar 31, 2026 | 33.83 Mn |
| Dec 31, 2025 | 125.90 Mn |
| Sep 30, 2025 | 9.29 Mn |
| Jun 30, 2025 | 37.89 Mn |
| Mar 31, 2025 | 58.68 Mn |
| Mar 31, 2024 | 34.85 Mn |
API Access
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_KEYimport 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();