Xpel (XPEL) Net Income (2018 - 2026)
Xpel (XPEL) recorded Net Income of $18.3 million in Q2 2026, up 12.9% from $16.21 million a year earlier and up 74.2% from the prior quarter.
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Analysis
Xpel (XPEL) Net Income (2018 - 2026) Analysis & Trends
On a TTM basis, Xpel's Net Income came in at $55.6 million as of Jun 30, 2026, up 14.4% year-over-year; for FY2025, it came in at $51.59 million, up 13.4% from FY2024.
- Annual Net Income has a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $45.49 million in FY2024 (-13.8%), $52.8 million in FY2023 (+27.6%), $41.38 million in FY2022 (+31.1%) and $31.57 million in FY2021 (+72.7%).
- The Q2 2026 figure is the highest quarterly Net Income in data going back to Q2 2018.
- On a year-over-year basis, Net Income has increased for three consecutive quarters, with growth averaging 12.1% over the last eight quarters.
- Peak year-over-year performance for Net Income in the last five years was growth of 59.9% in Q3 2022, against a decline of 41.7% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.51 million (Q1 2026), $13.66 million (Q4 2025) and $13.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.13 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 9.74 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 537.92 Mn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 2.97 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 1.35 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | -1.32 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | -837.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 479.00 Mn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 340.57 Mn |
| 10 | Xpel | 1.24 Bn | 1.05 Bn | 63.14 Mn | 18.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.30 Mn |
| Mar 31, 2026 | 10.51 Mn |
| Dec 31, 2025 | 13.66 Mn |
| Sep 30, 2025 | 13.14 Mn |
| Jun 30, 2025 | 16.21 Mn |
| Mar 31, 2025 | 8.59 Mn |
| Dec 31, 2024 | 8.90 Mn |
| Sep 30, 2024 | 14.89 Mn |
| Jun 30, 2024 | 15.03 Mn |
| Mar 31, 2024 | 6.67 Mn |
| Dec 31, 2023 | 11.97 Mn |
| Sep 30, 2023 | 13.66 Mn |
| Jun 30, 2023 | 15.74 Mn |
| Mar 31, 2023 | 11.43 Mn |
| Dec 31, 2022 | 8.36 Mn |
| Sep 30, 2022 | 13.32 Mn |
| Jun 30, 2022 | 11.90 Mn |
| Mar 31, 2022 | 7.80 Mn |
| Dec 31, 2021 | 6.20 Mn |
| Sep 30, 2021 | 8.33 Mn |
API Access
Xpel Net Income 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=net-income&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();