Xpel (XPEL) Other Non-Current Liabilities (2020 - 2026)
Xpel's Other Non-Current Liabilities came in at $10.32 million for Q2 2026, up 592.0% from $1.49 million a year earlier and up 8.1% from the prior quarter.
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Analysis
Xpel (XPEL) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Xpel's Other Non-Current Liabilities was $9.51 million, up 425.5% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of 67.1% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $1.81 million in FY2024 (+103.4%), $890,000 in FY2023 (-16.8%), $1.07 million in FY2022 (-59.3%) and $2.63 million in FY2021 (+260.7%).
- The five-year range for quarterly Other Non-Current Liabilities is $515,000 (Q2 2024) to $12.63 million (Q3 2025).
- Year-over-year, Other Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 273.5% over the last seven quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q2 2026 (growth of 592.0%), and the weakest in Q4 2022 (a decline of 59.3%).
- Business Quant data shows XPEL's Other Non-Current Liabilities at $9.55 million (Q1 2026), $9.51 million (Q4 2025) and $12.63 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn |
| 10 | Xpel | 1.06 Bn | 858.07 Mn | 63.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.32 Mn |
| Mar 31, 2026 | 9.55 Mn |
| Dec 31, 2025 | 9.51 Mn |
| Sep 30, 2025 | 12.63 Mn |
| Jun 30, 2025 | 1.49 Mn |
| Mar 31, 2025 | 1.83 Mn |
| Dec 31, 2024 | 1.81 Mn |
| Sep 30, 2024 | 1.08 Mn |
| Jun 30, 2024 | 515,000.00 |
| Mar 31, 2024 | 682,000.00 |
| Dec 31, 2023 | 890,000.00 |
| Sep 30, 2023 | 950,000.00 |
| Jun 30, 2023 | 1.18 Mn |
| Mar 31, 2023 | 1.11 Mn |
| Dec 31, 2022 | 1.07 Mn |
| Sep 30, 2022 | 899,000.00 |
| Jun 30, 2022 | 1.14 Mn |
| Mar 31, 2022 | 2.43 Mn |
| Dec 31, 2021 | 2.63 Mn |
| Sep 30, 2021 | 720,777.00 |
API Access
Xpel Other Non-Current Liabilities 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-liabilities&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-liabilities&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();