Xpel (XPEL) Amortizatization of Intangibles (2018 - 2026)
Xpel (XPEL) recorded Amortizatization of Intangibles of $2.2 million in Q2 2026, up 46.7% from $1.5 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Xpel (XPEL) Amortizatization of Intangibles (2018 - 2026) Analysis & Trends
On a TTM basis, Xpel's Amortizatization of Intangibles came in at $8.28 million as of Jun 30, 2026, up 35.8% year-over-year; for FY2025, it was $7 million, up 18.6% from FY2024.
- Annual Amortizatization of Intangibles has increased for seven straight years, with a five-year compound annual growth rate of 47.6% (FY2020 to FY2025).
- Across earlier years, Amortizatization of Intangibles came in at $5.9 million in FY2024 (+15.7%), $5.1 million in FY2023 (+15.9%), $4.4 million in FY2022 (+76.0%) and $2.5 million in FY2021 (+150.1%).
- Quarterly Amortizatization of Intangibles has ranged from $700,000 in Q3 2021 to $2.28 million in Q4 2025 over the past five years.
- On a year-over-year basis, Amortizatization of Intangibles has increased for 29 consecutive quarters, with growth averaging 23.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Amortizatization of Intangibles ranged from 6.7% (Q4 2022) to 318.9% (Q1 2022).
- Per Business Quant, the preceding three quarters came in at $2.1 million (Q1 2026), $2.28 million (Q4 2025) and $1.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | 2.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.20 Mn |
| Mar 31, 2026 | 2.10 Mn |
| Dec 31, 2025 | 2.28 Mn |
| Sep 30, 2025 | 1.70 Mn |
| Jun 30, 2025 | 1.50 Mn |
| Mar 31, 2025 | 1.52 Mn |
| Dec 31, 2024 | 1.57 Mn |
| Sep 30, 2024 | 1.50 Mn |
| Jun 30, 2024 | 1.40 Mn |
| Mar 31, 2024 | 1.41 Mn |
| Dec 31, 2023 | 1.40 Mn |
| Sep 30, 2023 | 1.30 Mn |
| Jun 30, 2023 | 1.20 Mn |
| Mar 31, 2023 | 1.20 Mn |
| Dec 31, 2022 | 1.15 Mn |
| Sep 30, 2022 | 1.10 Mn |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 1.10 Mn |
| Dec 31, 2021 | 1.08 Mn |
| Sep 30, 2021 | 700,000.00 |
API Access
Xpel Amortizatization of 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=amortizatization-of-intangibles&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();