Xpel (XPEL) Other Operating Expenses (2018 - 2026)
Xpel's Other Operating Expenses came in at $15.39 million for Q2 2026, up 29.7% from $11.86 million a year earlier and up 1.5% from the prior quarter.
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Analysis
Xpel (XPEL) Other Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xpel reported Other Operating Expenses of $57.95 million, up 26.3% year-over-year; for FY2025, it came in at $51.14 million, up 19.4% from FY2024.
- Other Operating Expenses has increased in each of the last seven years, with a five-year compound annual growth rate of 39.3% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $42.82 million in FY2024 (+34.7%), $31.79 million in FY2023 (+25.3%), $25.37 million in FY2022 (+38.8%) and $18.27 million in FY2021 (+87.5%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q2 2018.
- Year-over-year, Other Operating Expenses has increased for 24 consecutive quarters, with growth averaging 24.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Operating Expenses ran from 5.8% in Q1 2023 to 110.8% in Q3 2021.
- Business Quant data shows XPEL's Other Operating Expenses at $15.16 million (Q1 2026), $13.61 million (Q4 2025) and $13.79 million (Q3 2025) in the three quarters before Q2 2026.
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 | 15.39 Mn |
| Mar 31, 2026 | 15.16 Mn |
| Dec 31, 2025 | 13.61 Mn |
| Sep 30, 2025 | 13.79 Mn |
| Jun 30, 2025 | 11.86 Mn |
| Mar 31, 2025 | 11.88 Mn |
| Dec 31, 2024 | 11.51 Mn |
| Sep 30, 2024 | 10.64 Mn |
| Jun 30, 2024 | 10.28 Mn |
| Mar 31, 2024 | 10.39 Mn |
| Dec 31, 2023 | 9.23 Mn |
| Sep 30, 2023 | 7.73 Mn |
| Jun 30, 2023 | 8.15 Mn |
| Mar 31, 2023 | 6.68 Mn |
| Dec 31, 2022 | 6.85 Mn |
| Sep 30, 2022 | 6.30 Mn |
| Jun 30, 2022 | 5.91 Mn |
| Mar 31, 2022 | 6.31 Mn |
| Dec 31, 2021 | 5.30 Mn |
| Sep 30, 2021 | 4.90 Mn |
API Access
Xpel Other Operating Expenses 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=other-operating-expenses&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();