Axil Brands (AXIL) Operating Expenses (2016 - 2026)
Axil Brands' Operating Expenses came in at $4.59 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 8.8% from $4.22 million a year earlier but down 2.6% from the prior quarter.
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Analysis
Axil Brands (AXIL) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Axil Brands reported Operating Expenses of $18.77 million, up 7.8% year-over-year; for FY2026 (ended May 31, 2026), it came in at $18.4 million, up 5.3% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 68.5% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $17.48 million in FY2025 (-6.4%), $18.67 million in FY2024 (+18.7%), $15.73 million in FY2023 (+814.8%) and $1.72 million in FY2022 (+26.9%).
- The five-year range for quarterly Operating Expenses is $386,253 (fiscal Q2 2022) to $4.99 million (fiscal Q2 2024).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 1.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2023 (growth of 949.6%), and the weakest in fiscal Q4 2025 (a decline of 11.2%).
- Business Quant data shows AXIL's Operating Expenses at $4.72 million (Q4 2026), $4.83 million (Q3 2026) and $4.63 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.09 Bn | 25.76 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.41 Bn | 12.95 Bn | 817.20 Mn | - |
| 3 | Hni | 3.30 Bn | 2.87 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.40 Bn | 1.56 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.07 Bn | 965.26 Mn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.84 Bn | -1.63 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Arhaus | 1.52 Bn | 603.08 Mn | 172.07 Mn | 117.81 Mn |
| 8 | Millerknoll | 1.46 Bn | 760.69 Mn | 385.30 Mn | 333.50 Mn |
| 9 | Corsair Gaming | 1.42 Bn | 943.98 Mn | 104.29 Mn | 96.68 Mn |
| 10 | Axil Brands | 37.77 Mn | 14.88 Mn | 5.03 Mn | 4.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 4.59 Mn |
| May 31, 2026 | 4.72 Mn |
| Feb 28, 2026 | 4.83 Mn |
| Nov 30, 2025 | 4.63 Mn |
| Aug 31, 2025 | 4.22 Mn |
| May 31, 2025 | 3.98 Mn |
| Feb 28, 2025 | 4.38 Mn |
| Nov 30, 2024 | 4.83 Mn |
| Aug 31, 2024 | 4.29 Mn |
| May 31, 2024 | 4.48 Mn |
| Feb 29, 2024 | 4.73 Mn |
| Nov 30, 2023 | 4.99 Mn |
| Aug 31, 2023 | 4.47 Mn |
| May 31, 2023 | 4.59 Mn |
| Feb 28, 2023 | 4.00 Mn |
| Nov 30, 2022 | 4.05 Mn |
| Aug 31, 2022 | 3.08 Mn |
| May 31, 2022 | 403,695.00 |
| Feb 28, 2022 | 439,276.00 |
| Nov 30, 2021 | 386,253.00 |
API Access
Axil Brands 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=AXIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AXIL", "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=AXIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();