Xpel (XPEL) Operating Leases (2019 - 2026)
Xpel's Operating Leases was $13.38 million in Q2 2026, down 17.2% from $16.16 million a year earlier and down 11.3% from the prior quarter.
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Analysis
Xpel (XPEL) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Xpel came in at $16.71 million, up 3.6% from FY2024.
- Operating Leases has now increased for six consecutive years, with a five-year compound annual growth rate of 31.0% (FY2020 to FY2025).
- In earlier years, Operating Leases was $16.13 million in FY2024 (+26.8%), $12.72 million in FY2023 (+4.9%), $12.12 million in FY2022 (+23.3%) and $9.83 million in FY2021 (+127.0%).
- The Q2 2026 figure marks the lowest quarterly Operating Leases since Q1 2024.
- Compared with a year earlier, Operating Leases was higher in six of the last eight quarters, with growth averaging 9.9%.
- The best year-over-year quarter for Operating Leases over five years was Q3 2021 (growth of 137.4%); the worst was Q2 2026 (a decline of 17.2%).
- Per Business Quant data, XPEL's Operating Leases in the three quarters before Q2 2026 was $15.08 million (Q1 2026), $16.71 million (Q4 2025) and $16.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Xpel | 1.22 Bn | 1.03 Bn | 63.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.38 Mn |
| Mar 31, 2026 | 15.08 Mn |
| Dec 31, 2025 | 16.71 Mn |
| Sep 30, 2025 | 16.75 Mn |
| Jun 30, 2025 | 16.16 Mn |
| Mar 31, 2025 | 15.81 Mn |
| Dec 31, 2024 | 16.13 Mn |
| Sep 30, 2024 | 15.21 Mn |
| Jun 30, 2024 | 15.36 Mn |
| Mar 31, 2024 | 12.81 Mn |
| Dec 31, 2023 | 12.72 Mn |
| Sep 30, 2023 | 11.52 Mn |
| Jun 30, 2023 | 12.30 Mn |
| Mar 31, 2023 | 12.24 Mn |
| Dec 31, 2022 | 12.12 Mn |
| Sep 30, 2022 | 12.09 Mn |
| Jun 30, 2022 | 10.01 Mn |
| Mar 31, 2022 | 10.79 Mn |
| Dec 31, 2021 | 9.83 Mn |
| Sep 30, 2021 | 9.08 Mn |
API Access
Xpel Operating Leases 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=operating-leases&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();