Xpel (XPEL) EBIT (2018 - 2026)
Xpel's EBIT was $23.22 million in Q2 2026, up 20.3% from $19.3 million a year earlier and up 78.4% from the prior quarter.
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Analysis
Xpel (XPEL) EBIT (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xpel's EBIT was $68.46 million through Jun 30, 2026, up 11.9% year-over-year; for FY2025, it came in at $62.65 million, up 5.9% from FY2024.
- EBIT shows a five-year compound annual growth rate of 21.8% (FY2020 to FY2025).
- In earlier years, EBIT was $59.15 million in FY2024 (-11.7%), $66.97 million in FY2023 (+24.2%), $53.94 million in FY2022 (+34.5%) and $40.12 million in FY2021 (+71.7%).
- The Q2 2026 figure marks the highest quarterly EBIT in data going back to Q2 2018.
- Compared with a year earlier, EBIT has increased for three straight quarters, with growth averaging 8.2% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q3 2022 (growth of 66.9%); the worst was Q1 2024 (a decline of 38.2%).
- Per Business Quant data, XPEL's EBIT in the three quarters before Q2 2026 was $13.01 million (Q1 2026), $15.48 million (Q4 2025) and $16.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 398.00 Mn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 6.67 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 703.29 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 3.33 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 1.46 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 638.00 Mn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | -836.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 1.34 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 815.98 Mn |
| 10 | Xpel | 1.22 Bn | 1.03 Bn | 63.14 Mn | 23.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.22 Mn |
| Mar 31, 2026 | 13.01 Mn |
| Dec 31, 2025 | 15.48 Mn |
| Sep 30, 2025 | 16.75 Mn |
| Jun 30, 2025 | 19.30 Mn |
| Mar 31, 2025 | 11.12 Mn |
| Dec 31, 2024 | 12.35 Mn |
| Sep 30, 2024 | 18.39 Mn |
| Jun 30, 2024 | 19.19 Mn |
| Mar 31, 2024 | 9.23 Mn |
| Dec 31, 2023 | 14.22 Mn |
| Sep 30, 2023 | 17.63 Mn |
| Jun 30, 2023 | 20.19 Mn |
| Mar 31, 2023 | 14.93 Mn |
| Dec 31, 2022 | 10.85 Mn |
| Sep 30, 2022 | 17.31 Mn |
| Jun 30, 2022 | 15.75 Mn |
| Mar 31, 2022 | 10.04 Mn |
| Dec 31, 2021 | 8.53 Mn |
| Sep 30, 2021 | 10.37 Mn |
API Access
Xpel EBIT 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=ebit&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();