Xpel (XPEL) Revenue (2018 - 2026)
Xpel (XPEL) recorded Revenue of $143.05 million in Q2 2026, up 14.7% from $124.71 million a year earlier and up 21.9% from the prior quarter.
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Analysis
Xpel (XPEL) Revenue (2018 - 2026) Analysis & Trends
On a TTM basis, Xpel's Revenue came in at $508.09 million as of Jun 30, 2026, up 13.2% year-over-year; for FY2025, it was $476.2 million, up 13.3% from FY2024.
- Annual Revenue has increased for seven straight years, with a five-year compound annual growth rate of 24.5% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $420.4 million in FY2024 (+6.1%), $396.29 million in FY2023 (+22.3%), $323.99 million in FY2022 (+25.0%) and $259.26 million in FY2021 (+63.1%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2018.
- On a year-over-year basis, Revenue has increased for 29 consecutive quarters, with growth averaging 11.6% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 1.9% (Q4 2024) and 48.6% (Q3 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $117.35 million (Q1 2026), $122.27 million (Q4 2025) and $125.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 28.24 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 84.86 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 2.25 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 38.03 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 48.03 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 48.30 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 | 10.98 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 50.54 Bn |
| 10 | Xpel | 1.22 Bn | 1.03 Bn | 63.14 Mn | 143.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 143.05 Mn |
| Mar 31, 2026 | 117.35 Mn |
| Dec 31, 2025 | 122.27 Mn |
| Sep 30, 2025 | 125.42 Mn |
| Jun 30, 2025 | 124.71 Mn |
| Mar 31, 2025 | 103.81 Mn |
| Dec 31, 2024 | 107.53 Mn |
| Sep 30, 2024 | 112.85 Mn |
| Jun 30, 2024 | 109.92 Mn |
| Mar 31, 2024 | 90.10 Mn |
| Dec 31, 2023 | 105.54 Mn |
| Sep 30, 2023 | 102.68 Mn |
| Jun 30, 2023 | 102.24 Mn |
| Mar 31, 2023 | 85.84 Mn |
| Dec 31, 2022 | 78.48 Mn |
| Sep 30, 2022 | 89.76 Mn |
| Jun 30, 2022 | 83.89 Mn |
| Mar 31, 2022 | 71.86 Mn |
| Dec 31, 2021 | 70.13 Mn |
| Sep 30, 2021 | 68.53 Mn |
API Access
Xpel Revenue 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=revenue&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();