Xpel (XPEL) Total Liabilities (2018 - 2026)
Xpel (XPEL) reported Total Liabilities of $154.09 million for Q2 2026, up 146.9% from $62.41 million a year earlier and up 51.3% from the prior quarter.
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Analysis
Xpel (XPEL) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Xpel posted Total Liabilities of $97.34 million, up 61.8% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 26.2% (FY2020 to FY2025).
- By year, Total Liabilities came in at $60.15 million in FY2024 (-16.5%), $72.05 million in FY2023 (+5.0%), $68.64 million in FY2022 (-10.3%) and $76.55 million in FY2021 (+151.3%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2018.
- Year over year, Total Liabilities has now increased in each of the last five quarters, with growth averaging 43.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2022 (growth of 171.9%); the low point was Q2 2023 (a decline of 26.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $101.86 million (Q1 2026), $97.34 million (Q4 2025) and $113.84 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 61.06 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 404.08 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 7.62 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 136.83 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 219.10 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 249.78 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 10.01 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 176.31 Bn |
| 10 | Xpel | 1.22 Bn | 1.03 Bn | 63.14 Mn | 154.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154.09 Mn |
| Mar 31, 2026 | 101.86 Mn |
| Dec 31, 2025 | 97.34 Mn |
| Sep 30, 2025 | 113.84 Mn |
| Jun 30, 2025 | 62.41 Mn |
| Mar 31, 2025 | 59.37 Mn |
| Dec 31, 2024 | 60.15 Mn |
| Sep 30, 2024 | 54.31 Mn |
| Jun 30, 2024 | 59.92 Mn |
| Mar 31, 2024 | 72.07 Mn |
| Dec 31, 2023 | 72.05 Mn |
| Sep 30, 2023 | 60.22 Mn |
| Jun 30, 2023 | 63.35 Mn |
| Mar 31, 2023 | 70.91 Mn |
| Dec 31, 2022 | 68.64 Mn |
| Sep 30, 2022 | 73.31 Mn |
| Jun 30, 2022 | 85.98 Mn |
| Mar 31, 2022 | 96.02 Mn |
| Dec 31, 2021 | 76.55 Mn |
| Sep 30, 2021 | 46.00 Mn |
API Access
Xpel Total 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=total-liabilities&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();