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 | 1,225.08 Bn | 1,047.30 Bn | 5.49 Bn | 2.56% |
| 2 | General Motors | 77.86 Bn | -26.75 Bn | 9.28 Bn | 7.19% |
| 3 | Ferrari | 74.53 Bn | 66.83 Bn | 1.14 Bn | 29.70% |
| 4 | Ford Motor | 49.86 Bn | -84.56 Bn | 7.38 Bn | 2.94% |
| 5 | Honda Motor | 47.61 Bn | -102.20 Bn | 8.46 Bn | 8.76% |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 8.39% |
| 7 | Rivian Automotive | 20.12 Bn | -1.60 Bn | 176.00 Mn | -40.88% |
| 8 | Magna International | 17.69 Bn | 11.66 Bn | 1.63 Bn | 13.52% |
| 9 | Stellantis | 12.77 Bn | -148.67 Bn | 3.94 Bn | -0.88% |
| 10 | Xpel | 1.07 Bn | 865.92 Mn | 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();