Xpel (XPEL) Return on Capital Employed [ROCE] (2019 - 2026)
Xpel's Return on Capital Employed [ROCE] was 19.75% in Q2 2026, down 3.61 percentage points from 23.36% a year earlier and down 0.98 percentage points from the prior quarter.
Xpel (XPEL) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Xpel came in at 23.81%, down 2.21 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for six consecutive years, with a five-year change of -26.42 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 26.02% in FY2024 (-9.94 pp), 35.96% in FY2023 (-0.05 pp), 36.01% in FY2022 (-10.55 pp) and 46.56% in FY2021 (-3.68 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2019.
- Compared with a year earlier, Return on Capital Employed [ROCE] has declined for 11 straight quarters, with an average year-over-year change of -5.06 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2021 (a gain of 7.74 percentage points); the worst was Q2 2022 (a drop of 18.91 percentage points).
- Per Business Quant data, XPEL's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 20.73% (Q1 2026), 19.94% (Q4 2025) and 22.16% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 3.95% |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 2.97% |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 2.00% |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 0.98% |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | -3.99% |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | -31.93% |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | -0.99% |
| 10 | Xpel | 1.24 Bn | 1.05 Bn | 63.14 Mn | 19.75% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.75% |
| Mar 31, 2026 | 20.73% |
| Dec 31, 2025 | 19.94% |
| Sep 30, 2025 | 22.16% |
| Jun 30, 2025 | 23.36% |
| Mar 31, 2025 | 24.55% |
| Dec 31, 2024 | 24.87% |
| Sep 30, 2024 | 26.43% |
| Jun 30, 2024 | 26.30% |
| Mar 31, 2024 | 27.42% |
| Dec 31, 2023 | 33.00% |
| Sep 30, 2023 | 36.30% |
| Jun 30, 2023 | 35.79% |
| Mar 31, 2023 | 34.03% |
| Dec 31, 2022 | 33.01% |
| Sep 30, 2022 | 32.91% |
| Jun 30, 2022 | 30.14% |
| Mar 31, 2022 | 32.62% |
| Dec 31, 2021 | 37.69% |
| Sep 30, 2021 | 48.71% |
Xpel 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=XPEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "XPEL", "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=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();