Bassett Furniture Industries (BSET) Operating Expenses (2011 - 2026)
Bassett Furniture Industries' Operating Expenses was $44.69 million in fiscal Q3 2026 (quarter ended Aug 29, 2026), up 0.7% from $44.4 million a year earlier and up 0.1% from the prior quarter.
Bassett Furniture Industries (BSET) Operating Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bassett Furniture Industries' Operating Expenses was $180.4 million through Aug 29, 2026, up 1.0% year-over-year; for FY2025 (ended Nov 29, 2025), it was $180.36 million, down 4.0% from FY2024.
- Operating Expenses has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $187.97 million in FY2024 (-8.4%), $205.23 million in FY2023 (-5.9%), $218.07 million in FY2022 (+10.8%) and $196.83 million in FY2021 (+11.6%).
- Quarterly Operating Expenses has moved between $43.91 million (fiscal Q1 2026) and $57.53 million (fiscal Q4 2022) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 3.1%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2022 (growth of 14.8%); the worst was fiscal Q4 2023 (a decline of 12.2%).
- Per Business Quant data, BSET's Operating Expenses in the three fiscal quarters before Q3 2026 was $44.63 million (Q2 2026), $43.91 million (Q1 2026) and $47.17 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | - |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 117.81 Mn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 333.50 Mn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 96.68 Mn |
| 10 | Bassett Furniture Industries | 186.31 Mn | -31.17 Mn | 47.62 Mn | 44.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 44.69 Mn |
| May 30, 2026 | 44.63 Mn |
| Feb 28, 2026 | 43.91 Mn |
| Nov 29, 2025 | 47.17 Mn |
| Aug 30, 2025 | 44.40 Mn |
| May 31, 2025 | 44.41 Mn |
| Mar 1, 2025 | 44.38 Mn |
| Nov 30, 2024 | 45.39 Mn |
| Aug 31, 2024 | 45.21 Mn |
| Jun 1, 2024 | 46.71 Mn |
| Mar 2, 2024 | 50.22 Mn |
| Nov 25, 2023 | 50.52 Mn |
| Aug 26, 2023 | 48.85 Mn |
| May 27, 2023 | 51.37 Mn |
| Feb 25, 2023 | 54.50 Mn |
| Nov 26, 2022 | 57.53 Mn |
| Aug 27, 2022 | 54.70 Mn |
| May 28, 2022 | 54.93 Mn |
| Feb 26, 2022 | 50.92 Mn |
| Nov 27, 2021 | 51.36 Mn |
Bassett Furniture Industries 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=BSET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BSET", "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=BSET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();