Bassett Furniture Industries (BSET) Enterprise Value (2010 - 2026)
Bassett Furniture Industries (BSET) recorded Enterprise Value of $108.73 million in fiscal Q3 2026 (quarter ended Aug 29, 2026), up 18.9% from $91.46 million a year earlier and up 43.8% from the prior quarter.
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Analysis
Bassett Furniture Industries (BSET) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Bassett Furniture Industries' Enterprise Value came in at -$55.35 million as of Aug 29, 2026; for FY2025 (ended Nov 29, 2025), it was $75.11 million, up 2.7% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of -5.8% (FY2020 to FY2025).
- Across earlier fiscal years, Enterprise Value came in at $73.14 million in FY2024 (-3.3%), $75.63 million in FY2023 (-13.4%), $87.34 million in FY2022 (-21.9%) and $111.82 million in FY2021 (+10.4%).
- The fiscal Q3 2026 figure is the highest quarterly Enterprise Value since fiscal Q1 2022.
- On a year-over-year basis, Enterprise Value rose in five of the last eight quarters, with growth averaging 7.2%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 44.1% in fiscal Q2 2024, against a decline of 72.4% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $75.64 million (Q2 2026), $78.5 million (Q1 2026) and $75.11 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 28.15 Bn | 25.82 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.32 Bn | 12.87 Bn | 817.20 Mn |
| 3 | Hni | 3.32 Bn | 2.89 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.38 Bn | 1.54 Bn | 812.00 Mn |
| 5 | Sonos | 2.08 Bn | 974.78 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.75 Bn | -1.72 Bn | 442.00 Mn |
| 7 | Arhaus | 1.58 Bn | 661.79 Mn | 172.07 Mn |
| 8 | Corsair Gaming | 1.47 Bn | 1.00 Bn | 104.29 Mn |
| 9 | Millerknoll | 1.43 Bn | 731.59 Mn | 385.30 Mn |
| 10 | Bassett Furniture Industries | 188.80 Mn | -28.67 Mn | 47.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 108.73 Mn |
| May 30, 2026 | 75.64 Mn |
| Feb 28, 2026 | 78.50 Mn |
| Nov 29, 2025 | 75.11 Mn |
| Aug 30, 2025 | 91.46 Mn |
| May 31, 2025 | 85.04 Mn |
| Mar 1, 2025 | 81.10 Mn |
| Nov 30, 2024 | 73.14 Mn |
| Aug 31, 2024 | 68.46 Mn |
| Jun 1, 2024 | 71.51 Mn |
| Mar 2, 2024 | 79.96 Mn |
| Nov 25, 2023 | 75.63 Mn |
| Aug 26, 2023 | 71.22 Mn |
| May 27, 2023 | 49.63 Mn |
| Feb 25, 2023 | 95.53 Mn |
| Nov 26, 2022 | 87.34 Mn |
| Aug 27, 2022 | 91.39 Mn |
| May 28, 2022 | 64.46 Mn |
| Feb 26, 2022 | 116.94 Mn |
| Nov 27, 2021 | 111.82 Mn |
API Access
Bassett Furniture Industries Enterprise Value 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=enterprise-value&ticker=BSET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=BSET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();