Xpel (XPEL) Return on Assets [ROA] (2019 - 2026)
Xpel (XPEL) posted Return on Assets [ROA] of 12.83% for Q2 2026, down 3.03 percentage points from 15.85% a year earlier and down 0.95 percentage points from the prior quarter.
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Analysis
Xpel (XPEL) Return on Assets [ROA] (2019 - 2026) Analysis & Trends
For FY2025, Xpel's Return on Assets [ROA] came in at 15.44%, down 1.48 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -11.55 percentage points (FY2020 to FY2025).
- In prior years, Xpel's Return on Assets [ROA] was 16.92% in FY2024 (-6.79 pp), 23.71% in FY2023 (+0.35 pp), 23.35% in FY2022 (-2.43 pp) and 25.78% in FY2021 (-1.21 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Assets [ROA] in data going back to Q3 2019.
- On a year-over-year basis, Return on Assets [ROA] has declined in each of the last ten quarters, with an average year-over-year change of -3.50 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q2 2023, with a gain of 4.88 percentage points; the weakest was Q2 2022, with a drop of 11.48 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was 13.77% (Q1 2026), 13.40% (Q4 2025) and 13.27% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,146.25 Bn | 980.81 Bn | 4.75 Bn | 2.64% |
| 2 | Toyota Motor | 244.39 Bn | -162.35 Bn | 20.95 Bn | 4.02% |
| 3 | Ferrari | 143.73 Bn | 136.18 Bn | 1.18 Bn | 16.02% |
| 4 | Honda Motor | 143.33 Bn | 10.71 Bn | 8.46 Bn | -0.27% |
| 5 | General Motors | 69.61 Bn | -35.26 Bn | 7.33 Bn | 0.74% |
| 6 | Ford Motor | 48.10 Bn | -94.36 Bn | 6.08 Bn | -2.60% |
| 7 | Rivian Automotive | 20.10 Bn | -3.19 Bn | 179.00 Mn | -21.95% |
| 8 | Magna International | 18.07 Bn | 15.63 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.56 Bn | -152.44 Bn | 5.55 Bn | -0.71% |
| 10 | Xpel | 1.23 Bn | 1.04 Bn | 63.14 Mn | 12.83% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.83% |
| Mar 31, 2026 | 13.77% |
| Dec 31, 2025 | 13.40% |
| Sep 30, 2025 | 13.27% |
| Jun 30, 2025 | 15.85% |
| Mar 31, 2025 | 16.34% |
| Dec 31, 2024 | 16.29% |
| Sep 30, 2024 | 18.16% |
| Jun 30, 2024 | 18.19% |
| Mar 31, 2024 | 18.82% |
| Dec 31, 2023 | 22.05% |
| Sep 30, 2023 | 22.18% |
| Jun 30, 2023 | 23.02% |
| Mar 31, 2023 | 22.45% |
| Dec 31, 2022 | 21.69% |
| Sep 30, 2022 | 20.79% |
| Jun 30, 2022 | 18.15% |
| Mar 31, 2022 | 18.62% |
| Dec 31, 2021 | 22.12% |
| Sep 30, 2021 | 27.38% |
API Access
Xpel Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();