Bassett Furniture Industries (BSET) Operating Leases (2020 - 2026)
Bassett Furniture Industries (BSET) posted Operating Leases of $65.05 million for fiscal Q3 2026 (quarter ended Aug 29, 2026), down 11.1% from $73.2 million a year earlier and down 7.2% from the prior quarter.
Bassett Furniture Industries (BSET) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 29, 2025), Bassett Furniture Industries' Operating Leases came in at $69.35 million, down 21.5% from FY2024.
- Annual Operating Leases has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- In prior fiscal years, Bassett Furniture Industries' Operating Leases was $88.4 million in FY2024 (-9.2%), $97.36 million in FY2023 (-0.1%), $97.48 million in FY2022 (+2.8%) and $94.85 million in FY2021 (-15.3%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has declined in each of the last nine quarters, with an average decline of 14.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q4 2022, with growth of 2.8%; the weakest was fiscal Q4 2025, with a decline of 21.5%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $70.13 million (Q2 2026), $67.37 million (Q1 2026) and $69.35 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 28.25 Bn | 25.92 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.40 Bn | 12.94 Bn | 817.20 Mn |
| 3 | Hni | 3.32 Bn | 2.89 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.40 Bn | 1.56 Bn | 812.00 Mn |
| 5 | Sonos | 2.09 Bn | 985.48 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.76 Bn | -1.71 Bn | 442.00 Mn |
| 7 | Arhaus | 1.56 Bn | 643.54 Mn | 172.07 Mn |
| 8 | Millerknoll | 1.45 Bn | 744.76 Mn | 385.30 Mn |
| 9 | Corsair Gaming | 1.45 Bn | 974.04 Mn | 104.29 Mn |
| 10 | Bassett Furniture Industries | 186.48 Mn | -31.00 Mn | 47.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 65.05 Mn |
| May 30, 2026 | 70.13 Mn |
| Feb 28, 2026 | 67.37 Mn |
| Nov 29, 2025 | 69.35 Mn |
| Aug 30, 2025 | 73.20 Mn |
| May 31, 2025 | 78.12 Mn |
| Mar 1, 2025 | 83.37 Mn |
| Nov 30, 2024 | 88.40 Mn |
| Aug 31, 2024 | 85.31 Mn |
| Jun 1, 2024 | 90.65 Mn |
| Mar 2, 2024 | 95.31 Mn |
| Nov 25, 2023 | 97.36 Mn |
| Aug 26, 2023 | 85.88 Mn |
| May 27, 2023 | 89.17 Mn |
| Feb 25, 2023 | 93.62 Mn |
| Nov 26, 2022 | 97.48 Mn |
| Aug 27, 2022 | 84.10 Mn |
| May 28, 2022 | 88.80 Mn |
| Feb 26, 2022 | 93.33 Mn |
| Nov 27, 2021 | 94.85 Mn |
Bassett Furniture Industries Operating Leases 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-leases&ticker=BSET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=BSET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();