Xpel (XPEL) Inventory (2018 - 2026)
Xpel's Inventory was $128.01 million in Q2 2026, up 22.9% from $104.13 million a year earlier but down 2.7% from the prior quarter.
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Analysis
Xpel (XPEL) Inventory (2018 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Xpel came in at $122.76 million, up 10.7% from FY2024.
- Inventory has now increased for seven consecutive years, with a five-year compound annual growth rate of 40.6% (FY2020 to FY2025).
- In earlier years, Inventory was $110.9 million in FY2024 (+4.1%), $106.51 million in FY2023 (+32.2%), $80.58 million in FY2022 (+55.1%) and $51.94 million in FY2021 (+132.2%).
- Quarterly Inventory has moved between $39.55 million (Q3 2021) and $131.58 million (Q1 2026) over five years.
- Compared with a year earlier, Inventory has increased for 24 straight quarters, with growth averaging 12.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Inventory ranged from 4.1% (Q4 2024) to 199.0% (Q1 2022).
- Per Business Quant data, XPEL's Inventory in the three quarters before Q2 2026 was $131.58 million (Q1 2026), $122.76 million (Q4 2025) and $128.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 13.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 34.32 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 1.44 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 16.00 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 15.95 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 16.95 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 1.66 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 4.01 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 27.88 Bn |
| 10 | Xpel | 1.22 Bn | 1.03 Bn | 63.14 Mn | 128.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.01 Mn |
| Mar 31, 2026 | 131.58 Mn |
| Dec 31, 2025 | 122.76 Mn |
| Sep 30, 2025 | 128.72 Mn |
| Jun 30, 2025 | 104.13 Mn |
| Mar 31, 2025 | 115.31 Mn |
| Dec 31, 2024 | 110.90 Mn |
| Sep 30, 2024 | 101.59 Mn |
| Jun 30, 2024 | 97.59 Mn |
| Mar 31, 2024 | 110.17 Mn |
| Dec 31, 2023 | 106.51 Mn |
| Sep 30, 2023 | 92.46 Mn |
| Jun 30, 2023 | 82.71 Mn |
| Mar 31, 2023 | 84.59 Mn |
| Dec 31, 2022 | 80.58 Mn |
| Sep 30, 2022 | 69.39 Mn |
| Jun 30, 2022 | 74.14 Mn |
| Mar 31, 2022 | 74.49 Mn |
| Dec 31, 2021 | 51.94 Mn |
| Sep 30, 2021 | 39.55 Mn |
API Access
Xpel Inventory 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=inventory&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();