Ethan Allen Interiors (ETD) Operating Expenses (2010 - 2026)
Ethan Allen Interiors (ETD) reported Operating Expenses of $77.21 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 4.4% from $80.79 million a year earlier but up 4.0% from the prior quarter.
Ethan Allen Interiors (ETD) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Ethan Allen Interiors posted Operating Expenses of $308.65 million, down 0.5% from FY2025.
- Operating Expenses has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 13.0% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $310.13 million in FY2025 (-1.6%), $315.07 million in FY2024 (-8.2%), $343.17 million in FY2023 (-0.9%) and $346.46 million in FY2022.
- Five-year quarterly Operating Expenses spans a low of $74.21 million in fiscal Q3 2026 and a high of $89.97 million in fiscal Q1 2023.
- Year over year, Operating Expenses gained in four of the last eight quarters, with an average decline of 0.9%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2026 (growth of 5.1%); the low point was fiscal Q3 2024 (a decline of 10.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $74.21 million (Q3 2026), $77.04 million (Q2 2026) and $80.23 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.02 Bn | 25.69 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.26 Bn | 12.80 Bn | 817.20 Mn | - |
| 3 | Hni | 3.26 Bn | 2.83 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.37 Bn | 1.52 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.08 Bn | 977.15 Mn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Arhaus | 1.55 Bn | 631.38 Mn | 172.07 Mn | 117.81 Mn |
| 8 | Corsair Gaming | 1.48 Bn | 1.01 Bn | 104.29 Mn | 96.68 Mn |
| 9 | Millerknoll | 1.41 Bn | 705.96 Mn | 385.30 Mn | 333.50 Mn |
| 10 | Ethan Allen Interiors | 504.91 Mn | 2.15 Mn | 92.62 Mn | 77.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.21 Mn |
| Mar 31, 2026 | 74.21 Mn |
| Dec 31, 2025 | 77.04 Mn |
| Sep 30, 2025 | 80.23 Mn |
| Jun 30, 2025 | 80.79 Mn |
| Mar 31, 2025 | 76.36 Mn |
| Dec 31, 2024 | 76.68 Mn |
| Sep 30, 2024 | 76.30 Mn |
| Jun 30, 2024 | 79.83 Mn |
| Mar 31, 2024 | 74.50 Mn |
| Dec 31, 2023 | 78.95 Mn |
| Sep 30, 2023 | 81.79 Mn |
| Jun 30, 2023 | 83.49 Mn |
| Mar 31, 2023 | 82.76 Mn |
| Dec 31, 2022 | 86.95 Mn |
| Sep 30, 2022 | 89.97 Mn |
| Mar 31, 2022 | 86.81 Mn |
| Dec 31, 2021 | 85.98 Mn |
| Sep 30, 2021 | 81.83 Mn |
| Mar 31, 2021 | 82.42 Mn |
Ethan Allen Interiors 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=ETD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ETD", "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=ETD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();