XMax (XMAX) Operating Expenses (2010 - 2026)
XMax (XMAX) recorded Operating Expenses of $2.31 million in Q2 2026, up 55.9% from $1.48 million a year earlier and up 62.8% from the prior quarter.
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Analysis
XMax (XMAX) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, XMax's Operating Expenses came in at $6.96 million as of Jun 30, 2026, down 16.1% year-over-year; for FY2025, it was $6.11 million, down 36.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $9.61 million in FY2024 (-9.2%), $10.59 million in FY2023 (+25.5%), $8.44 million in FY2022 (-10.0%) and $9.38 million in FY2021 (+46.3%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 6.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 156.8% in Q4 2023, against a decline of 61.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.42 million (Q1 2026), $1.76 million (Q4 2025) and $1.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 96.68 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 344.20 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 117.81 Mn |
| 10 | XMax | 561.42 Mn | 508.46 Mn | 1.09 Mn | 2.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.31 Mn |
| Mar 31, 2026 | 1.42 Mn |
| Dec 31, 2025 | 1.76 Mn |
| Sep 30, 2025 | 1.47 Mn |
| Jun 30, 2025 | 1.48 Mn |
| Mar 31, 2025 | 1.40 Mn |
| Dec 31, 2024 | 1.83 Mn |
| Sep 30, 2024 | 3.59 Mn |
| Jun 30, 2024 | 1.69 Mn |
| Mar 31, 2024 | 2.50 Mn |
| Dec 31, 2023 | 4.81 Mn |
| Sep 30, 2023 | 2.12 Mn |
| Jun 30, 2023 | 1.83 Mn |
| Mar 31, 2023 | 1.84 Mn |
| Dec 31, 2022 | 1.87 Mn |
| Sep 30, 2022 | 2.09 Mn |
| Jun 30, 2022 | 2.13 Mn |
| Mar 31, 2022 | 2.35 Mn |
| Dec 31, 2021 | 2.42 Mn |
| Sep 30, 2021 | 2.55 Mn |
API Access
XMax 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=operating-expenses&ticker=XMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=XMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();