Xpel (XPEL) Assets (2018 - 2026)
Xpel's Assets came in at $472.65 million for Q2 2026, up 48.6% from $318.07 million a year earlier and up 19.8% from the prior quarter.
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Analysis
Xpel (XPEL) Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Xpel's Assets was $382.53 million, up 33.9% from FY2024.
- Assets has increased in each of the last seven years, with a five-year compound annual growth rate of 35.5% (FY2020 to FY2025).
- Going back by year, Assets was $285.61 million in FY2024 (+13.3%), $252.04 million in FY2023 (+30.3%), $193.36 million in FY2022 (+20.1%) and $161.02 million in FY2021 (+92.1%).
- The Q2 2026 figure represents the highest quarterly Assets in data going back to Q4 2018.
- Year-over-year, Assets has increased for 25 consecutive quarters, with growth averaging 28.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Assets ranged from 10.3% (Q1 2023) to 97.5% (Q1 2022).
- Business Quant data shows XPEL's Assets at $394.45 million (Q1 2026), $382.53 million (Q4 2025) and $387.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 148.52 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 643.92 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 11.87 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 216.06 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 282.74 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 285.53 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 15.14 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 248.07 Bn |
| 10 | Xpel | 1.22 Bn | 1.03 Bn | 63.14 Mn | 472.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 472.65 Mn |
| Mar 31, 2026 | 394.45 Mn |
| Dec 31, 2025 | 382.53 Mn |
| Sep 30, 2025 | 387.70 Mn |
| Jun 30, 2025 | 318.07 Mn |
| Mar 31, 2025 | 294.82 Mn |
| Dec 31, 2024 | 285.61 Mn |
| Sep 30, 2024 | 273.04 Mn |
| Jun 30, 2024 | 261.83 Mn |
| Mar 31, 2024 | 258.49 Mn |
| Dec 31, 2023 | 252.04 Mn |
| Sep 30, 2023 | 226.78 Mn |
| Jun 30, 2023 | 216.66 Mn |
| Mar 31, 2023 | 207.67 Mn |
| Dec 31, 2022 | 193.36 Mn |
| Sep 30, 2022 | 188.26 Mn |
| Jun 30, 2022 | 189.06 Mn |
| Mar 31, 2022 | 188.26 Mn |
| Dec 31, 2021 | 161.02 Mn |
| Sep 30, 2021 | 124.40 Mn |
API Access
Xpel Assets 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=assets&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();