Xpeng (XPEV) Revenue (2019 - 2026)
Xpeng (XPEV) recorded Revenue of $2.91 billion in Q2 2026, up 14.1% from $2.55 billion a year earlier and up 54.0% from the prior quarter.
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Analysis
Xpeng (XPEV) Revenue (2019 - 2026) Analysis & Trends
On a TTM basis, Xpeng's Revenue came in at $10.84 billion as of Jun 30, 2026, up 29.5% year-over-year; for FY2025, it came in at $10.97 billion, up 96.0% from FY2024.
- Annual Revenue has increased for six straight years, with a five-year compound annual growth rate of 65.1% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $5.6 billion in FY2024 (+29.6%), $4.32 billion in FY2023 (+11.0%), $3.89 billion in FY2022 (+18.2%) and $3.29 billion in FY2021 (+267.7%).
- Quarterly Revenue has ranged from $587.31 million in Q1 2023 to $3.18 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Revenue rose in seven of the last eight quarters, with growth averaging 57.0%.
- Peak year-over-year performance for Revenue in the last five years was growth of 207.2% in Q4 2021, against a decline of 50.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.89 billion (Q1 2026), $3.18 billion (Q4 2025) and $2.86 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,308.23 Bn | 1,134.26 Bn | 4.75 Bn | 28.24 Bn |
| 2 | General Motors | 74.59 Bn | -30.02 Bn | 9.28 Bn | 50.02 Bn |
| 3 | Ferrari | 71.20 Bn | 63.69 Bn | 1.18 Bn | 2.25 Bn |
| 4 | Ford Motor | 49.18 Bn | -93.32 Bn | 6.08 Bn | 48.30 Bn |
| 5 | Honda Motor | 45.16 Bn | -104.65 Bn | 8.46 Bn | 38.03 Bn |
| 6 | Toyota Motor | 25.22 Bn | -375.60 Bn | 20.95 Bn | 84.86 Bn |
| 7 | Magna International | 18.21 Bn | 12.24 Bn | 1.61 Bn | 10.98 Bn |
| 8 | Rivian Automotive | 15.34 Bn | -7.97 Bn | 179.00 Mn | 1.66 Bn |
| 9 | Stellantis | 13.61 Bn | -147.82 Bn | 3.94 Bn | 43.27 Bn |
| 10 | Xpeng | 8.75 Bn | 8.75 Bn | 599.70 Mn | 2.90 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.90 Bn |
| Mar 31, 2026 | 1.88 Bn |
| Dec 31, 2025 | 3.14 Bn |
| Sep 30, 2025 | 2.85 Bn |
| Jun 30, 2025 | 2.53 Bn |
| Mar 31, 2025 | 2.18 Bn |
| Dec 31, 2024 | 2.24 Bn |
| Sep 30, 2024 | 1.41 Bn |
| Jun 30, 2024 | 1.12 Bn |
| Mar 31, 2024 | 915.73 Mn |
| Dec 31, 2023 | 1.81 Bn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 722.83 Mn |
| Mar 31, 2023 | 589.58 Mn |
| Dec 31, 2022 | 722.75 Mn |
| Sep 30, 2022 | 997.60 Mn |
| Jun 30, 2022 | 1.13 Bn |
| Mar 31, 2022 | 1.17 Bn |
| Dec 31, 2021 | 1.34 Bn |
| Sep 30, 2021 | 887.72 Mn |
API Access
Xpeng Revenue 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=revenue&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();