Xpel (XPEL) Current Assets (2018 - 2026)
Xpel (XPEL) recorded Current Assets of $226.9 million in Q2 2026, up 15.0% from $197.32 million a year earlier but down 4.3% from the prior quarter.
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Analysis
Xpel (XPEL) Current Assets (2018 - 2026) Analysis & Trends
At the end of FY2025, Xpel reported Current Assets of $230.7 million, up 37.0% from FY2024.
- Annual Current Assets has increased for seven straight years, with a five-year compound annual growth rate of 29.7% (FY2020 to FY2025).
- Across earlier years, Current Assets came in at $168.34 million in FY2024 (+14.9%), $146.45 million in FY2023 (+37.1%), $106.82 million in FY2022 (+35.2%) and $79.03 million in FY2021 (+25.9%).
- Quarterly Current Assets has ranged from $65.99 million in Q3 2021 to $237.2 million in Q1 2026 over the past five years.
- On a year-over-year basis, Current Assets has increased for 25 consecutive quarters, with growth averaging 26.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Current Assets ranged from 13.9% (Q3 2021) to 113.9% (Q2 2022).
- Per Business Quant, the preceding three quarters came in at $237.2 million (Q1 2026), $230.7 million (Q4 2025) and $234.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 68.76 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 243.76 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 6.06 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 83.15 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 110.01 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 117.49 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 7.62 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 105.06 Bn |
| 10 | Xpel | 1.22 Bn | 1.03 Bn | 63.14 Mn | 226.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 226.90 Mn |
| Mar 31, 2026 | 237.20 Mn |
| Dec 31, 2025 | 230.70 Mn |
| Sep 30, 2025 | 234.53 Mn |
| Jun 30, 2025 | 197.32 Mn |
| Mar 31, 2025 | 178.30 Mn |
| Dec 31, 2024 | 168.34 Mn |
| Sep 30, 2024 | 158.72 Mn |
| Jun 30, 2024 | 147.91 Mn |
| Mar 31, 2024 | 152.93 Mn |
| Dec 31, 2023 | 146.45 Mn |
| Sep 30, 2023 | 138.04 Mn |
| Jun 30, 2023 | 125.66 Mn |
| Mar 31, 2023 | 120.31 Mn |
| Dec 31, 2022 | 106.82 Mn |
| Sep 30, 2022 | 104.64 Mn |
| Jun 30, 2022 | 107.57 Mn |
| Mar 31, 2022 | 104.01 Mn |
| Dec 31, 2021 | 79.03 Mn |
| Sep 30, 2021 | 65.99 Mn |
API Access
Xpel 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=current-assets&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=current-assets&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();