Xpeng (XPEV) Other Accumulated Expenses (2019 - 2026)
Xpeng (XPEV) reported Other Accumulated Expenses of $59,000 for Q2 2026, down 56.9% from $137,000 a year earlier and down 83.9% from the prior quarter.
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Analysis
Xpeng (XPEV) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Xpeng posted Other Accumulated Expenses of $152,000, down 88.2% from FY2024.
- Other Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -39.3% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $1.28 million in FY2024 (-70.5%), $4.35 million in FY2023 (-67.1%), $13.21 million in FY2022 (+237.9%) and $3.91 million in FY2021 (+111.5%).
- Five-year quarterly Other Accumulated Expenses spans a low of $11,000 in Q3 2025 and a high of $12.81 million in Q4 2022.
- Year over year, Other Accumulated Expenses has now declined in each of the last three quarters, with growth averaging 39.5% over the last five quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q2 2025 (growth of 470.8%); the low point was Q4 2025 (a decline of 88.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $367,000 (Q1 2026), $150,016 (Q4 2025) and $11,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn |
| 10 | Xpeng | 9.74 Bn | 9.74 Bn | 599.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58,437.35 |
| Mar 31, 2026 | 366,340.65 |
| Dec 31, 2025 | 152,084.74 |
| Sep 30, 2025 | 10,815.52 |
| Jun 30, 2025 | 137,198.31 |
| Mar 31, 2025 | 877,622.91 |
| Dec 31, 2024 | 1.28 Mn |
| Jun 30, 2024 | 24,080.80 |
| Dec 31, 2023 | 4.35 Mn |
| Sep 30, 2023 | 7.14 Mn |
| Jun 30, 2023 | 4.20 Mn |
| Mar 31, 2023 | 4.33 Mn |
| Dec 31, 2022 | 13.08 Mn |
| Sep 30, 2022 | 4.01 Mn |
| Jun 30, 2022 | 902,564.22 |
| Mar 31, 2022 | 3.49 Mn |
| Dec 31, 2021 | 3.91 Mn |
| Sep 30, 2021 | 3.01 Mn |
| Jun 30, 2021 | 2.57 Mn |
| Mar 31, 2021 | 2.11 Mn |
API Access
Xpeng Other Accumulated 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-accumulated-expenses&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();