Xpel (XPEL) Intangibles (2018 - 2026)
Xpel's Intangibles came in at $53.7 million for Q2 2026, up 65.3% from $32.49 million a year earlier and up 10.8% from the prior quarter.
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Analysis
Xpel (XPEL) Intangibles (2018 - 2026) Analysis & Trends
At the end of FY2025, Xpel's Intangibles was $49.62 million, up 43.6% from FY2024.
- Intangibles carries a five-year compound annual growth rate of 55.7% (FY2020 to FY2025).
- Going back by year, Intangibles was $34.56 million in FY2024 (-1.0%), $34.91 million in FY2023 (+19.2%), $29.29 million in FY2022 (-10.5%) and $32.73 million in FY2021 (+503.5%).
- The five-year range for quarterly Intangibles is $21.58 million (Q3 2021) to $56.27 million (Q3 2025).
- Year-over-year, Intangibles has increased for four consecutive quarters, with growth averaging 28.8% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in Q1 2022 (growth of 504.7%), and the weakest in Q1 2023 (a decline of 10.9%).
- Business Quant data shows XPEL's Intangibles at $48.45 million (Q1 2026), $49.62 million (Q4 2025) and $56.27 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 674.00 Mn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 8.58 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 1.98 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 4.91 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 | 430.00 Mn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 18.36 Bn |
| 10 | Xpel | 1.22 Bn | 1.03 Bn | 63.14 Mn | 53.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.70 Mn |
| Mar 31, 2026 | 48.45 Mn |
| Dec 31, 2025 | 49.62 Mn |
| Sep 30, 2025 | 56.27 Mn |
| Jun 30, 2025 | 32.49 Mn |
| Mar 31, 2025 | 33.80 Mn |
| Dec 31, 2024 | 34.56 Mn |
| Sep 30, 2024 | 33.60 Mn |
| Jun 30, 2024 | 33.24 Mn |
| Mar 31, 2024 | 33.94 Mn |
| Dec 31, 2023 | 34.91 Mn |
| Sep 30, 2023 | 29.46 Mn |
| Jun 30, 2023 | 30.59 Mn |
| Mar 31, 2023 | 28.49 Mn |
| Dec 31, 2022 | 29.29 Mn |
| Sep 30, 2022 | 29.43 Mn |
| Jun 30, 2022 | 29.78 Mn |
| Mar 31, 2022 | 31.98 Mn |
| Dec 31, 2021 | 32.73 Mn |
| Sep 30, 2021 | 21.58 Mn |
API Access
Xpel Intangibles 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=intangibles&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();