Xpeng (XPEV) EPS (Diluted) (2019 - 2026)
Xpeng (XPEV) posted EPS (Diluted) of -$0.21 for Q2 2026, compared with -$0.07 a year earlier.
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Analysis
Xpeng (XPEV) EPS (Diluted) (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Xpeng was -$0.48; for FY2025, it was -$0.17.
- In prior years, Xpeng's EPS (Diluted) was -$0.84 in FY2024, -$1.68 in FY2023, -$1.55 in FY2022 and -$0.93 in FY2021.
- Quarterly EPS (Diluted) has run from a low of -$0.66 in Q3 2021 to a high of $0.06 in Q4 2025 over five years.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was -$0.27 (Q1 2026), $0.06 (Q4 2025) and -$0.06 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,306.97 Bn | 1,133.00 Bn | 4.75 Bn | 0.31 |
| 2 | General Motors | 71.54 Bn | -33.07 Bn | 9.28 Bn | 3.73 |
| 3 | Ferrari | 70.02 Bn | 62.51 Bn | 1.18 Bn | 3.01 |
| 4 | Ford Motor | 47.43 Bn | -95.07 Bn | 6.08 Bn | -0.33 |
| 5 | Honda Motor | 44.81 Bn | -105.00 Bn | 8.46 Bn | 1.64 |
| 6 | Toyota Motor | 25.22 Bn | -375.60 Bn | 20.95 Bn | 7.11 |
| 7 | Magna International | 17.98 Bn | 12.00 Bn | 1.61 Bn | 1.66 |
| 8 | Rivian Automotive | 15.45 Bn | -7.86 Bn | 179.00 Mn | -0.63 |
| 9 | Stellantis | 13.50 Bn | -151.15 Bn | 5.55 Bn | 0.11 |
| 10 | Xpeng | 8.85 Bn | 8.85 Bn | 599.70 Mn | -0.21 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.21 |
| Mar 31, 2026 | -0.27 |
| Dec 31, 2025 | 0.06 |
| Sep 30, 2025 | -0.06 |
| Jun 30, 2025 | -0.07 |
| Mar 31, 2025 | -0.10 |
| Dec 31, 2024 | -0.20 |
| Sep 30, 2024 | -0.29 |
| Jun 30, 2024 | -0.20 |
| Mar 31, 2024 | -0.22 |
| Dec 31, 2023 | -0.22 |
| Sep 30, 2023 | -0.63 |
| Jun 30, 2023 | -0.47 |
| Mar 31, 2023 | -0.40 |
| Dec 31, 2022 | -0.39 |
| Sep 30, 2022 | -0.42 |
| Jun 30, 2022 | -0.50 |
| Mar 31, 2022 | -0.33 |
| Dec 31, 2021 | -0.25 |
| Sep 30, 2021 | -0.66 |
API Access
Xpeng EPS (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=eps-diluted&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();