Bassett Furniture Industries (BSET) Total Liabilities (2010 - 2026)
Bassett Furniture Industries (BSET) posted Total Liabilities of $147.21 million for fiscal Q3 2026 (quarter ended Aug 29, 2026), down 7.1% from $158.52 million a year earlier and down 3.8% from the prior quarter.
Bassett Furniture Industries (BSET) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 29, 2025), Bassett Furniture Industries' Total Liabilities came in at $158.71 million, down 8.7% from FY2024.
- Annual Total Liabilities has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- In prior fiscal years, Bassett Furniture Industries' Total Liabilities was $173.84 million in FY2024 (-7.0%), $186.98 million in FY2023 (-11.2%), $210.66 million in FY2022 (-18.6%) and $258.93 million in FY2021 (+5.9%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Total Liabilities since fiscal Q4 2019.
- On a year-over-year basis, Total Liabilities has declined in each of the last 18 quarters, with an average decline of 7.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2021, with growth of 5.9%; the weakest was fiscal Q1 2023, with a decline of 23.2%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $153.01 million (Q2 2026), $151.71 million (Q1 2026) and $158.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 1.04 Bn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 2.65 Bn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 551.41 Mn |
| 10 | Bassett Furniture Industries | 186.31 Mn | -31.17 Mn | 47.62 Mn | 147.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 147.21 Mn |
| May 30, 2026 | 153.01 Mn |
| Feb 28, 2026 | 151.71 Mn |
| Nov 29, 2025 | 158.71 Mn |
| Aug 30, 2025 | 158.52 Mn |
| May 31, 2025 | 164.56 Mn |
| Mar 1, 2025 | 168.99 Mn |
| Nov 30, 2024 | 173.84 Mn |
| Aug 31, 2024 | 170.83 Mn |
| Jun 1, 2024 | 173.60 Mn |
| Mar 2, 2024 | 180.81 Mn |
| Nov 25, 2023 | 186.98 Mn |
| Aug 26, 2023 | 180.25 Mn |
| May 27, 2023 | 181.14 Mn |
| Feb 25, 2023 | 197.76 Mn |
| Nov 26, 2022 | 210.66 Mn |
| Aug 27, 2022 | 207.75 Mn |
| May 28, 2022 | 223.61 Mn |
| Feb 26, 2022 | 257.63 Mn |
| Nov 27, 2021 | 258.93 Mn |
Bassett Furniture Industries Total Liabilities 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=total-liabilities&ticker=BSET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BSET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();