Xpel (XPEL) EBITDA (2018 - 2026)
Xpel's EBITDA came in at $27.22 million for Q2 2026, up 21.5% from $22.4 million a year earlier and up 62.6% from the prior quarter.
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Analysis
Xpel (XPEL) EBITDA (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xpel reported EBITDA of $83.33 million, up 13.5% year-over-year; for FY2025, it was $75.95 million, up 7.2% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- Going back by year, EBITDA was $70.87 million in FY2024 (-7.5%), $76.61 million in FY2023 (+24.0%), $61.77 million in FY2022 (+38.8%) and $44.52 million in FY2021 (+73.4%).
- The Q2 2026 figure represents the highest quarterly EBITDA in data going back to Q2 2018.
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 9.5% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2022 (growth of 66.9%), and the weakest in Q1 2024 (a decline of 30.1%).
- Business Quant data shows XPEL's EBITDA at $16.73 million (Q1 2026), $19.33 million (Q4 2025) and $20.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 2.02 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 10.70 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 878.33 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | - |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 2.76 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 2.50 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | -599.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Xpel | 1.22 Bn | 1.03 Bn | 63.14 Mn | 27.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.22 Mn |
| Mar 31, 2026 | 16.73 Mn |
| Dec 31, 2025 | 19.33 Mn |
| Sep 30, 2025 | 20.05 Mn |
| Jun 30, 2025 | 22.40 Mn |
| Mar 31, 2025 | 14.18 Mn |
| Dec 31, 2024 | 15.43 Mn |
| Sep 30, 2024 | 21.39 Mn |
| Jun 30, 2024 | 22.09 Mn |
| Mar 31, 2024 | 11.97 Mn |
| Dec 31, 2023 | 16.93 Mn |
| Sep 30, 2023 | 20.13 Mn |
| Jun 30, 2023 | 22.49 Mn |
| Mar 31, 2023 | 17.13 Mn |
| Dec 31, 2022 | 12.93 Mn |
| Sep 30, 2022 | 19.31 Mn |
| Jun 30, 2022 | 17.65 Mn |
| Mar 31, 2022 | 11.94 Mn |
| Dec 31, 2021 | 10.21 Mn |
| Sep 30, 2021 | 11.57 Mn |
API Access
Xpel EBITDA 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=ebitda&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();