XMax (XMAX) Other Operating Expenses (2010 - 2026)
XMax's Other Operating Expenses was $290,479 in Q2 2026, down 6.0% from $309,179 a year earlier and down 21.4% from the prior quarter.
XMax (XMAX) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, XMax's Other Operating Expenses was $1.4 million through Jun 30, 2026, up 13.9% year-over-year; for FY2025, it came in at $1.38 million, down 11.6% from FY2024.
- Other Operating Expenses has now declined for four consecutive years, with a five-year compound annual growth rate of -4.7% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $1.56 million in FY2024 (-35.6%), $2.42 million in FY2023 (-16.2%), $2.89 million in FY2022 (-22.6%) and $3.73 million in FY2021 (+113.3%).
- The Q2 2026 figure marks the lowest quarterly Other Operating Expenses since Q4 2024.
- Compared with a year earlier, Other Operating Expenses was higher in two of the last eight quarters, with an average decline of 6.3%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2021 (growth of 153.0%); the worst was Q4 2024 (a decline of 67.6%).
- Per Business Quant data, XMAX's Other Operating Expenses in the three quarters before Q2 2026 was $369,425 (Q1 2026), $392,295 (Q4 2025) and $347,754 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 31.92 Bn | 29.36 Bn | 1.17 Bn |
| 2 | Somnigroup International | 13.82 Bn | 13.36 Bn | 817.20 Mn |
| 3 | Hni | 3.57 Bn | 3.06 Bn | 678.50 Mn |
| 4 | Newell Brands | 2.46 Bn | 1.60 Bn | 649.00 Mn |
| 5 | Arhaus | 2.12 Bn | 1.20 Bn | 172.07 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.60 Bn | 473.00 Mn |
| 7 | Sonos | 1.98 Bn | 880.80 Mn | 189.31 Mn |
| 8 | Cricut | 1.84 Bn | 749.66 Mn | 108.88 Mn |
| 9 | Millerknoll | 1.54 Bn | 842.46 Mn | 385.30 Mn |
| 10 | XMax | 353.20 Mn | 300.24 Mn | 1.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 290,479.00 |
| Mar 31, 2026 | 369,425.00 |
| Dec 31, 2025 | 392,295.00 |
| Sep 30, 2025 | 347,754.00 |
| Jun 30, 2025 | 309,179.00 |
| Mar 31, 2025 | 327,596.00 |
| Dec 31, 2024 | 176,923.00 |
| Sep 30, 2024 | 415,903.00 |
| Jun 30, 2024 | 405,212.00 |
| Mar 31, 2024 | 559,470.00 |
| Dec 31, 2023 | 545,783.00 |
| Sep 30, 2023 | 592,089.00 |
| Jun 30, 2023 | 565,093.00 |
| Mar 31, 2023 | 714,514.00 |
| Dec 31, 2022 | 714,416.00 |
| Sep 30, 2022 | 643,206.00 |
| Jun 30, 2022 | 770,211.00 |
| Mar 31, 2022 | 768,333.00 |
| Dec 31, 2021 | 758,065.00 |
| Sep 30, 2021 | 1.32 Mn |
XMax 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=XMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=XMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();