Xpel (XPEL) Property, Plant & Equipment (Net) (2018 - 2026)
Xpel (XPEL) reported Property, Plant & Equipment (Net) of $104.46 million for Q2 2026, up 519.0% from $16.88 million a year earlier and up 333.4% from the prior quarter.
Powered by 
Analysis
Xpel (XPEL) Property, Plant & Equipment (Net) (2018 - 2026) Analysis & Trends
At the end of FY2025, Xpel posted Property, Plant & Equipment (Net) of $15.8 million, down 10.9% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 27.4% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $17.74 million in FY2024 (+4.4%), $16.98 million in FY2023 (+19.6%), $14.2 million in FY2022 (+43.5%) and $9.9 million in FY2021 (+110.3%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2018.
- Year over year, Property, Plant & Equipment (Net) gained in four of the last eight quarters, with growth averaging 68.6%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2026 (growth of 519.0%); the low point was Q4 2025 (a decline of 10.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $24.1 million (Q1 2026), $15.8 million (Q4 2025) and $16.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 47.26 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 108.89 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 2.50 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 23.29 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 53.32 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 39.96 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 5.56 Bn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 8.85 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 53.62 Bn |
| 10 | Xpel | 1.24 Bn | 1.05 Bn | 63.14 Mn | 104.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.46 Mn |
| Mar 31, 2026 | 24.10 Mn |
| Dec 31, 2025 | 15.80 Mn |
| Sep 30, 2025 | 16.23 Mn |
| Jun 30, 2025 | 16.88 Mn |
| Mar 31, 2025 | 17.25 Mn |
| Dec 31, 2024 | 17.74 Mn |
| Sep 30, 2024 | 17.85 Mn |
| Jun 30, 2024 | 18.00 Mn |
| Mar 31, 2024 | 17.62 Mn |
| Dec 31, 2023 | 16.98 Mn |
| Sep 30, 2023 | 15.69 Mn |
| Jun 30, 2023 | 15.52 Mn |
| Mar 31, 2023 | 15.31 Mn |
| Dec 31, 2022 | 14.20 Mn |
| Sep 30, 2022 | 12.66 Mn |
| Jun 30, 2022 | 12.17 Mn |
| Mar 31, 2022 | 11.36 Mn |
| Dec 31, 2021 | 9.90 Mn |
| Sep 30, 2021 | 8.66 Mn |
API Access
Xpel Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();