Xpel (XPEL) Selling, General & Administrative (2018 - 2026)
Xpel's Selling, General & Administrative was $24.54 million in Q2 2026, up 9.8% from $22.36 million a year earlier and up 6.4% from the prior quarter.
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Analysis
Xpel (XPEL) Selling, General & Administrative (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Xpel's Selling, General & Administrative was $91.57 million through Jun 30, 2026, up 11.7% year-over-year; for FY2025, it came in at $87.23 million, up 15.7% from FY2024.
- Selling, General & Administrative has now increased for seven consecutive years, with a five-year compound annual growth rate of 33.1% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $75.4 million in FY2024 (+18.4%), $63.65 million in FY2023 (+32.0%), $48.21 million in FY2022 (+40.6%) and $34.29 million in FY2021 (+64.0%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q2 2018.
- Compared with a year earlier, Selling, General & Administrative has increased for 29 straight quarters, with growth averaging 14.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Selling, General & Administrative ranged from 9.8% (Q2 2026) to 85.1% (Q4 2021).
- Per Business Quant data, XPEL's Selling, General & Administrative in the three quarters before Q2 2026 was $23.06 million (Q1 2026), $22.1 million (Q4 2025) and $21.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 1.98 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 8.63 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 218.61 Mn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | -3.60 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 2.20 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 2.68 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 549.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 585.00 Mn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 2.89 Bn |
| 10 | Xpel | 1.24 Bn | 1.05 Bn | 63.14 Mn | 24.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.54 Mn |
| Mar 31, 2026 | 23.06 Mn |
| Dec 31, 2025 | 22.10 Mn |
| Sep 30, 2025 | 21.88 Mn |
| Jun 30, 2025 | 22.36 Mn |
| Mar 31, 2025 | 20.90 Mn |
| Dec 31, 2024 | 19.85 Mn |
| Sep 30, 2024 | 18.89 Mn |
| Jun 30, 2024 | 18.40 Mn |
| Mar 31, 2024 | 18.26 Mn |
| Dec 31, 2023 | 17.47 Mn |
| Sep 30, 2023 | 16.17 Mn |
| Jun 30, 2023 | 15.66 Mn |
| Mar 31, 2023 | 14.35 Mn |
| Dec 31, 2022 | 13.35 Mn |
| Sep 30, 2022 | 12.16 Mn |
| Jun 30, 2022 | 11.33 Mn |
| Mar 31, 2022 | 11.37 Mn |
| Dec 31, 2021 | 10.87 Mn |
| Sep 30, 2021 | 9.18 Mn |
API Access
Xpel Selling, General & Administrative 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=selling-general-and-administrative&ticker=XPEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=XPEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();