Xpeng (XPEV) Return on Capital Employed [ROCE] (2020 - 2026)
Xpeng's Return on Capital Employed [ROCE] came in at -8.30% for Q2 2026, up 4.46 percentage points from -12.76% a year earlier but down 0.80 percentage points from the prior quarter.
Xpeng (XPEV) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, Xpeng's Return on Capital Employed [ROCE] was -8.38%, up 6.50 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of +14.36 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -14.88% in FY2024 (+10.58 pp), -25.46% in FY2023 (-7.00 pp), -18.46% in FY2022 (-0.51 pp) and -17.95% in FY2021 (+4.78 pp).
- The five-year range for quarterly Return on Capital Employed [ROCE] is -30.70% (Q3 2023) to -6.44% (Q4 2025).
- Year-over-year, Return on Capital Employed [ROCE] has increased for eight consecutive quarters, with an average year-over-year change of +8.02 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q3 2024 (a gain of 14.08 percentage points), and the weakest in Q3 2023 (a drop of 11.88 percentage points).
- Business Quant data shows XPEV's Return on Capital Employed [ROCE] at -7.50% (Q1 2026), -6.44% (Q4 2025) and -10.15% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 3.08% |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 2.41% |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | - |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | -4.03% |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | -0.52% |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 5.90% |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | -29.34% |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | - |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | -13.04% |
| 10 | Xpeng | 9.74 Bn | 9.74 Bn | 599.70 Mn | -8.29% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.29% |
| Mar 31, 2026 | -7.35% |
| Dec 31, 2025 | -6.43% |
| Sep 30, 2025 | -10.20% |
| Jun 30, 2025 | -12.71% |
| Mar 31, 2025 | -14.30% |
| Dec 31, 2024 | -16.39% |
| Sep 30, 2024 | -16.47% |
| Jun 30, 2024 | -17.83% |
| Mar 31, 2024 | -20.45% |
| Dec 31, 2023 | -27.17% |
| Sep 30, 2023 | -30.49% |
| Jun 30, 2023 | -23.76% |
| Mar 31, 2023 | -20.26% |
| Dec 31, 2022 | -19.26% |
| Sep 30, 2022 | -19.01% |
| Jun 30, 2022 | -17.93% |
| Mar 31, 2022 | -16.34% |
| Dec 31, 2021 | -14.39% |
| Sep 30, 2021 | -12.81% |
Xpeng Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=XPEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();