XMax (XMAX) Selling, General & Administrative (2010 - 2026)
XMax's Selling, General & Administrative was $2.02 million in Q2 2026, up 72.3% from $1.17 million a year earlier and up 92.5% from the prior quarter.
XMax (XMAX) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, XMax's Selling, General & Administrative was $5.56 million through Jun 30, 2026, down 4.4% year-over-year; for FY2025, it came in at $4.74 million, down 21.8% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $6.06 million in FY2024 (+19.8%), $5.06 million in FY2023 (-8.8%), $5.54 million in FY2022 (-1.9%) and $5.65 million in FY2021 (+21.2%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative since Q3 2018.
- Compared with a year earlier, Selling, General & Administrative was higher in three of the last eight quarters, with growth averaging 7.7%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2026 (growth of 72.3%); the worst was Q3 2025 (a decline of 42.2%).
- Per Business Quant data, XMAX's Selling, General & Administrative in the three quarters before Q2 2026 was $1.05 million (Q1 2026), $1.37 million (Q4 2025) and $1.13 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.34 Bn | 23.01 Bn | 860.34 Mn | 130.11 Mn |
| 2 | Somnigroup International | 13.21 Bn | 12.76 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 533.00 Mn |
| 4 | Newell Brands | 2.26 Bn | 1.42 Bn | 812.00 Mn | 519.00 Mn |
| 5 | Sonos | 2.10 Bn | 998.62 Mn | 189.31 Mn | 30.28 Mn |
| 6 | Whirlpool | 1.98 Bn | -1.50 Bn | 442.00 Mn | 371.00 Mn |
| 7 | Corsair Gaming | 1.50 Bn | 1.04 Bn | 104.29 Mn | 81.23 Mn |
| 8 | Arhaus | 1.40 Bn | 477.18 Mn | 172.07 Mn | 117.81 Mn |
| 9 | Millerknoll | 1.39 Bn | 748.41 Mn | 385.30 Mn | 302.50 Mn |
| 10 | XMax | 544.11 Mn | 491.15 Mn | 1.09 Mn | 2.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.02 Mn |
| Mar 31, 2026 | 1.05 Mn |
| Dec 31, 2025 | 1.37 Mn |
| Sep 30, 2025 | 1.13 Mn |
| Jun 30, 2025 | 1.17 Mn |
| Mar 31, 2025 | 1.07 Mn |
| Dec 31, 2024 | 1.63 Mn |
| Sep 30, 2024 | 1.95 Mn |
| Jun 30, 2024 | 1.29 Mn |
| Mar 31, 2024 | 1.19 Mn |
| Dec 31, 2023 | 1.15 Mn |
| Sep 30, 2023 | 1.52 Mn |
| Jun 30, 2023 | 1.25 Mn |
| Mar 31, 2023 | 1.13 Mn |
| Dec 31, 2022 | 1.16 Mn |
| Sep 30, 2022 | 1.45 Mn |
| Jun 30, 2022 | 1.36 Mn |
| Mar 31, 2022 | 1.58 Mn |
| Dec 31, 2021 | 1.66 Mn |
| Sep 30, 2021 | 1.22 Mn |
XMax 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=XMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "XMAX", "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=XMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();