Xpel (XPEL) Goodwill & Intangibles (2018 - 2026)
Xpel's Goodwill & Intangibles was $115.02 million in Q2 2026, up 45.5% from $79.03 million a year earlier and up 8.7% from the prior quarter.
Powered by 
Analysis
Xpel (XPEL) Goodwill & Intangibles (2018 - 2026) Analysis & Trends
At the end of FY2025, Goodwill & Intangibles at Xpel came in at $108.9 million, up 38.4% from FY2024.
- Goodwill & Intangibles has now increased for three consecutive years, with a five-year compound annual growth rate of 61.6% (FY2020 to FY2025).
- In earlier years, Goodwill & Intangibles was $78.69 million in FY2024 (+8.7%), $72.37 million in FY2023 (+29.1%), $56.06 million in FY2022 (-4.0%) and $58.39 million in FY2021 (+490.0%).
- The Q2 2026 figure marks the highest quarterly Goodwill & Intangibles in data going back to Q2 2018.
- Compared with a year earlier, Goodwill & Intangibles has increased for 13 straight quarters, with growth averaging 26.8% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was Q4 2021 (growth of 490.0%); the worst was Q4 2022 (a decline of 4.0%).
- Per Business Quant data, XPEL's Goodwill & Intangibles in the three quarters before Q2 2026 was $105.85 million (Q1 2026), $108.9 million (Q4 2025) and $108.56 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn |
| 10 | Xpel | 1.24 Bn | 1.05 Bn | 63.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.02 Mn |
| Mar 31, 2026 | 105.85 Mn |
| Dec 31, 2025 | 108.90 Mn |
| Sep 30, 2025 | 108.56 Mn |
| Jun 30, 2025 | 79.03 Mn |
| Mar 31, 2025 | 78.24 Mn |
| Dec 31, 2024 | 78.69 Mn |
| Sep 30, 2024 | 76.95 Mn |
| Jun 30, 2024 | 76.34 Mn |
| Mar 31, 2024 | 71.60 Mn |
| Dec 31, 2023 | 72.37 Mn |
| Sep 30, 2023 | 58.06 Mn |
| Jun 30, 2023 | 59.18 Mn |
| Mar 31, 2023 | 55.30 Mn |
| Dec 31, 2022 | 56.06 Mn |
| Sep 30, 2022 | 54.84 Mn |
| Jun 30, 2022 | 54.85 Mn |
| Mar 31, 2022 | 57.59 Mn |
| Dec 31, 2021 | 58.39 Mn |
| Sep 30, 2021 | 37.32 Mn |
API Access
Xpel Goodwill & 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=goodwill-and-intangibles&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();