Xpel (XPEL) Return on Sales [ROS] (2018 - 2026)
Xpel's Return on Sales [ROS] came in at 16.23% for Q2 2026, up 0.75 percentage points from 15.47% a year earlier and up 5.14 percentage points from the prior quarter.
Xpel (XPEL) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xpel reported Return on Sales [ROS] of 13.47%, down 0.15 percentage points year-over-year; for FY2025, it was 13.16%, down 0.91 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of -1.55 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 14.07% in FY2024 (-2.83 pp), 16.90% in FY2023 (+0.25 pp), 16.65% in FY2022 (+1.17 pp) and 15.47% in FY2021 (+0.77 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q3 2024.
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -0.63 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2022 (a gain of 4.15 percentage points), and the weakest in Q1 2024 (a drop of 7.15 percentage points).
- Business Quant data shows XPEL's Return on Sales [ROS] at 11.09% (Q1 2026), 12.66% (Q4 2025) and 13.36% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.41% |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 7.86% |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 31.22% |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 8.76% |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 3.04% |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 1.32% |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | -50.42% |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 12.19% |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 1.61% |
| 10 | Xpel | 1.24 Bn | 1.05 Bn | 63.14 Mn | 16.23% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.23% |
| Mar 31, 2026 | 11.09% |
| Dec 31, 2025 | 12.66% |
| Sep 30, 2025 | 13.36% |
| Jun 30, 2025 | 15.47% |
| Mar 31, 2025 | 10.71% |
| Dec 31, 2024 | 11.48% |
| Sep 30, 2024 | 16.29% |
| Jun 30, 2024 | 17.45% |
| Mar 31, 2024 | 10.24% |
| Dec 31, 2023 | 13.48% |
| Sep 30, 2023 | 17.17% |
| Jun 30, 2023 | 19.75% |
| Mar 31, 2023 | 17.39% |
| Dec 31, 2022 | 13.82% |
| Sep 30, 2022 | 19.28% |
| Jun 30, 2022 | 18.77% |
| Mar 31, 2022 | 13.97% |
| Dec 31, 2021 | 12.16% |
| Sep 30, 2021 | 15.13% |
Xpel Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=XPEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();