Bassett Furniture Industries (BSET) Cost of Revenue (2010 - 2026)
Bassett Furniture Industries' Cost of Revenue came in at $35.22 million for fiscal Q3 2026 (quarter ended Aug 29, 2026), up 0.3% from $35.11 million a year earlier but down 3.3% from the prior quarter.
Bassett Furniture Industries (BSET) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 29, 2026, Bassett Furniture Industries reported Cost of Revenue of $145.52 million, up 0.7% year-over-year; for FY2025 (ended Nov 29, 2025), it came in at $146.6 million, down 2.6% from FY2024.
- Cost of Revenue has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -2.2% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $150.51 million in FY2024 (-18.0%), $183.65 million in FY2023 (-22.6%), $237.26 million in FY2022 (+13.1%) and $209.8 million in FY2021 (+28.3%).
- The five-year range for quarterly Cost of Revenue is $35.11 million (fiscal Q3 2025) to $62.77 million (fiscal Q2 2022).
- Year-over-year, Cost of Revenue increased in two of the last eight quarters, with an average decline of 3.5%.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q1 2022 (growth of 25.3%), and the weakest in fiscal Q3 2023 (a decline of 26.3%).
- Business Quant data shows BSET's Cost of Revenue at $36.41 million (Q2 2026), $35.18 million (Q1 2026) and $38.72 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn | 905.14 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn | 1.01 Bn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 825.20 Mn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn | 1.18 Bn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn | 185.95 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn | 3.08 Bn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn | 210.05 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn | 212.82 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn | 538.10 Mn |
| 10 | Bassett Furniture Industries | 179.26 Mn | -38.22 Mn | 47.62 Mn | 35.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 35.22 Mn |
| May 30, 2026 | 36.41 Mn |
| Feb 28, 2026 | 35.18 Mn |
| Nov 29, 2025 | 38.72 Mn |
| Aug 30, 2025 | 35.11 Mn |
| May 31, 2025 | 37.44 Mn |
| Mar 1, 2025 | 35.33 Mn |
| Nov 30, 2024 | 36.65 Mn |
| Aug 31, 2024 | 35.53 Mn |
| Jun 1, 2024 | 39.65 Mn |
| Mar 2, 2024 | 38.69 Mn |
| Nov 25, 2023 | 43.29 Mn |
| Aug 26, 2023 | 42.17 Mn |
| May 27, 2023 | 47.69 Mn |
| Feb 25, 2023 | 50.50 Mn |
| Nov 26, 2022 | 56.78 Mn |
| Aug 27, 2022 | 57.24 Mn |
| May 28, 2022 | 62.77 Mn |
| Feb 26, 2022 | 60.47 Mn |
| Nov 27, 2021 | 56.37 Mn |
Bassett Furniture Industries Cost of Revenue 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=cost-of-revenue&ticker=BSET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BSET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();