Xpeng (XPEV) Shares Outstanding (Diluted) (2019 - 2026)
Xpeng's Shares Outstanding (Diluted) came in at 951.99 million for Q2 2026, up 0.7% from 945.68 million a year earlier and unchanged from the prior quarter.
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Analysis
Xpeng (XPEV) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
Going back to Q3 2019, Xpeng's Shares Outstanding (Diluted) data covers 28 quarters.
- Shares Outstanding (Diluted) has increased in each of the last seven years, with a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 945.68 million in FY2024 (+8.6%), 870.46 million in FY2023 (+1.7%), 856.27 million in FY2022 (+4.2%) and 821.45 million in FY2021 (+117.8%).
- Year-over-year, Shares Outstanding (Diluted) has increased for 24 consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 0.7% (Q4 2025) and 117.8% (Q3 2022) over the last five years.
- Business Quant data shows XPEV's Shares Outstanding (Diluted) at 951.99 million (Q1 2026), 951.99 million (Q4 2025) and 945.68 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 3.54 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 13.03 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 | 910.00 Mn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 178.32 Mn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 3.99 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 1.33 Bn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | 282.50 Mn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 2.89 Bn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn | 951.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 951.99 Mn |
| Mar 31, 2026 | 951.99 Mn |
| Dec 31, 2025 | 951.99 Mn |
| Sep 30, 2025 | 945.68 Mn |
| Jun 30, 2025 | 945.68 Mn |
| Mar 31, 2025 | 945.68 Mn |
| Dec 31, 2024 | 945.68 Mn |
| Sep 30, 2024 | 870.46 Mn |
| Jun 30, 2024 | 870.46 Mn |
| Mar 31, 2024 | 870.46 Mn |
| Dec 31, 2023 | 870.46 Mn |
| Sep 30, 2023 | 856.27 Mn |
| Jun 30, 2023 | 856.27 Mn |
| Mar 31, 2023 | 856.27 Mn |
| Dec 31, 2022 | 856.27 Mn |
| Sep 30, 2022 | 821.45 Mn |
| Jun 30, 2022 | 821.45 Mn |
| Mar 31, 2022 | 821.45 Mn |
| Dec 31, 2021 | 821.45 Mn |
| Sep 30, 2021 | 377.14 Mn |
API Access
Xpeng Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();