Xpel (XPEL) Cost of Revenue (2018 - 2026)
Xpel's Cost of Revenue came in at $79.91 million for Q2 2026, up 12.2% from $71.2 million a year earlier and up 20.9% from the prior quarter.
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Analysis
Xpel (XPEL) Cost of Revenue (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xpel reported Cost of Revenue of $290.11 million, up 11.6% year-over-year; for FY2025, it came in at $275.18 million, up 13.2% from FY2024.
- Cost of Revenue has increased in each of the last seven years, with a five-year compound annual growth rate of 21.3% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $243.04 million in FY2024 (+3.9%), $233.88 million in FY2023 (+19.0%), $196.48 million in FY2022 (+17.9%) and $166.59 million in FY2021 (+58.8%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue in data going back to Q2 2018.
- Year-over-year, Cost of Revenue has increased for six consecutive quarters, with growth averaging 10.1% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2021 (growth of 46.5%), and the weakest in Q4 2024 (a decline of 1.2%).
- Business Quant data shows XPEL's Cost of Revenue at $66.12 million (Q1 2026), $71.08 million (Q4 2025) and $72.99 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 23.49 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 63.91 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 1.07 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 29.57 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 40.70 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 42.22 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 1.48 Bn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 9.37 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 44.99 Bn |
| 10 | Xpel | 1.24 Bn | 1.05 Bn | 63.14 Mn | 79.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.91 Mn |
| Mar 31, 2026 | 66.12 Mn |
| Dec 31, 2025 | 71.08 Mn |
| Sep 30, 2025 | 72.99 Mn |
| Jun 30, 2025 | 71.20 Mn |
| Mar 31, 2025 | 59.91 Mn |
| Dec 31, 2024 | 63.82 Mn |
| Sep 30, 2024 | 64.94 Mn |
| Jun 30, 2024 | 62.05 Mn |
| Mar 31, 2024 | 52.23 Mn |
| Dec 31, 2023 | 64.61 Mn |
| Sep 30, 2023 | 61.15 Mn |
| Jun 30, 2023 | 58.24 Mn |
| Mar 31, 2023 | 49.88 Mn |
| Dec 31, 2022 | 47.44 Mn |
| Sep 30, 2022 | 53.99 Mn |
| Jun 30, 2022 | 50.91 Mn |
| Mar 31, 2022 | 44.15 Mn |
| Dec 31, 2021 | 45.44 Mn |
| Sep 30, 2021 | 44.08 Mn |
API Access
Xpel Cost of Revenue 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=cost-of-revenue&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();