Xpel (XPEL) Other Non-Current Assets (2019 - 2026)
Xpel's Other Non-Current Assets came in at $7.07 million for Q2 2026, up 104.6% from $3.46 million a year earlier and up 0.7% from the prior quarter.
Powered by 
Analysis
Xpel (XPEL) Other Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Xpel's Other Non-Current Assets was $5.57 million, up 312.9% from FY2024.
- Other Non-Current Assets carries a five-year compound annual growth rate of 62.9% (FY2020 to FY2025).
- Going back by year, Other Non-Current Assets was $1.35 million in FY2024 (+72.6%), $782,000 in FY2023 (-19.5%), $972,000 in FY2022 (+22.9%) and $791,000 in FY2021 (+62.6%).
- The Q2 2026 figure represents the highest quarterly Other Non-Current Assets in data going back to Q2 2019.
- Year-over-year, Other Non-Current Assets has increased for eight consecutive quarters, with growth averaging 182.9% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in Q1 2026 (growth of 351.4%), and the weakest in Q1 2024 (a decline of 22.7%).
- Business Quant data shows XPEL's Other Non-Current Assets at $7.02 million (Q1 2026), $5.57 million (Q4 2025) and $4.76 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 9.45 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 4.97 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 868.62 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 3.30 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 9.47 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 13.52 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 560.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 1.18 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 11.62 Mn |
| 10 | Xpel | 1.22 Bn | 1.03 Bn | 63.14 Mn | 7.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.07 Mn |
| Mar 31, 2026 | 7.02 Mn |
| Dec 31, 2025 | 5.57 Mn |
| Sep 30, 2025 | 4.76 Mn |
| Jun 30, 2025 | 3.46 Mn |
| Mar 31, 2025 | 1.56 Mn |
| Dec 31, 2024 | 1.35 Mn |
| Sep 30, 2024 | 1.14 Mn |
| Jun 30, 2024 | 1.13 Mn |
| Mar 31, 2024 | 863,000.00 |
| Dec 31, 2023 | 782,000.00 |
| Sep 30, 2023 | 971,000.00 |
| Jun 30, 2023 | 1.14 Mn |
| Mar 31, 2023 | 1.12 Mn |
| Dec 31, 2022 | 972,000.00 |
| Sep 30, 2022 | 921,000.00 |
| Jun 30, 2022 | 893,000.00 |
| Mar 31, 2022 | 851,431.00 |
| Dec 31, 2021 | 791,000.00 |
| Sep 30, 2021 | 637,662.00 |
API Access
Xpel Other Non-Current 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=other-non-current-assets&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-assets&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();