Xpel (XPEL) Cash & Equivalents (2018 - 2026)
Xpel (XPEL) recorded Cash & Equivalents of $40.68 million in Q2 2026, down 18.0% from $49.59 million a year earlier and down 9.8% from the prior quarter.
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Analysis
Xpel (XPEL) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Xpel reported Cash & Equivalents of $50.86 million, up 130.3% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $22.09 million in FY2024 (+90.3%), $11.61 million in FY2023 (+44.1%), $8.06 million in FY2022 (-16.5%) and $9.64 million in FY2021 (-66.8%).
- The Q2 2026 figure is the lowest quarterly Cash & Equivalents since Q1 2025.
- On a year-over-year basis, Cash & Equivalents rose in seven of the last eight quarters, with growth averaging 126.0%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 231.0% in Q2 2025, against a decline of 71.3% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $45.11 million (Q1 2026), $50.86 million (Q4 2025) and $64.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 15.22 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 64.89 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 1.73 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 33.23 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 20.13 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 18.60 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 3.59 Bn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 1.43 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 39.17 Bn |
| 10 | Xpel | 1.24 Bn | 1.05 Bn | 63.14 Mn | 40.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.68 Mn |
| Mar 31, 2026 | 45.11 Mn |
| Dec 31, 2025 | 50.86 Mn |
| Sep 30, 2025 | 64.50 Mn |
| Jun 30, 2025 | 49.59 Mn |
| Mar 31, 2025 | 23.54 Mn |
| Dec 31, 2024 | 22.09 Mn |
| Sep 30, 2024 | 20.99 Mn |
| Jun 30, 2024 | 14.98 Mn |
| Mar 31, 2024 | 8.61 Mn |
| Dec 31, 2023 | 11.61 Mn |
| Sep 30, 2023 | 10.37 Mn |
| Jun 30, 2023 | 14.30 Mn |
| Mar 31, 2023 | 8.33 Mn |
| Dec 31, 2022 | 8.06 Mn |
| Sep 30, 2022 | 10.25 Mn |
| Jun 30, 2022 | 9.32 Mn |
| Mar 31, 2022 | 10.60 Mn |
| Dec 31, 2021 | 9.64 Mn |
| Sep 30, 2021 | 7.82 Mn |
API Access
Xpel Cash & Equivalents 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=cash-and-equivalents&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();