Xpel (XPEL) Enterprise Value (2019 - 2026)
Xpel (XPEL) posted Enterprise Value of $1.34 billion for Q2 2026, up 42.0% from $943.03 million a year earlier and up 13.5% from the prior quarter.
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Analysis
Xpel (XPEL) Enterprise Value (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Xpel was $1.18 billion, up 34.5% year-over-year; for FY2025, it was $1.33 billion, up 23.0% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In prior years, Xpel's Enterprise Value was $1.08 billion in FY2024 (-26.7%), $1.48 billion in FY2023 (-10.6%), $1.65 billion in FY2022 (-12.0%) and $1.88 billion in FY2021 (+34.5%).
- The Q2 2026 figure stands as the highest quarterly Enterprise Value since Q1 2024.
- On a year-over-year basis, Enterprise Value has increased in each of the last three quarters, with an average decline of 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2021, with growth of 201.2%; the weakest was Q2 2024, with a decline of 58.1%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $1.18 billion (Q1 2026), $1.33 billion (Q4 2025) and $855.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Xpel | 1.22 Bn | 1.03 Bn | 63.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.34 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 1.33 Bn |
| Sep 30, 2025 | 855.41 Mn |
| Jun 30, 2025 | 943.03 Mn |
| Mar 31, 2025 | 789.25 Mn |
| Dec 31, 2024 | 1.08 Bn |
| Sep 30, 2024 | 1.18 Bn |
| Jun 30, 2024 | 967.54 Mn |
| Mar 31, 2024 | 1.48 Bn |
| Dec 31, 2023 | 1.48 Bn |
| Sep 30, 2023 | 2.12 Bn |
| Jun 30, 2023 | 2.31 Bn |
| Mar 31, 2023 | 1.87 Bn |
| Dec 31, 2022 | 1.65 Bn |
| Sep 30, 2022 | 1.77 Bn |
| Jun 30, 2022 | 1.26 Bn |
| Mar 31, 2022 | 1.44 Bn |
| Dec 31, 2021 | 1.88 Bn |
| Sep 30, 2021 | 2.09 Bn |
API Access
Xpel Enterprise Value 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=enterprise-value&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();