Bassett Furniture Industries (BSET) Revenue (2010 - 2026)
Bassett Furniture Industries' Revenue was $82.84 million in fiscal Q3 2026 (quarter ended Aug 29, 2026), up 3.4% from $80.1 million a year earlier but down 1.1% from the prior quarter.
Bassett Furniture Industries (BSET) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bassett Furniture Industries' Revenue was $335.6 million through Aug 29, 2026, up 1.4% year-over-year; for FY2025 (ended Nov 29, 2025), it came in at $335.28 million, up 1.6% from FY2024.
- Revenue shows a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier fiscal years, Revenue was $329.92 million in FY2024 (-15.4%), $390.14 million in FY2023 (-19.7%), $485.6 million in FY2022 (+12.7%) and $430.89 million in FY2021 (+27.6%).
- Quarterly Revenue has moved between $75.62 million (fiscal Q3 2024) and $129.9 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Revenue was higher in four of the last eight quarters, with an average decline of 0.4%.
- The best year-over-year quarter for Revenue over five years was fiscal Q2 2022 (growth of 17.0%); the worst was fiscal Q3 2023 (a decline of 26.1%).
- Per Business Quant data, BSET's Revenue in the three fiscal quarters before Q3 2026 was $83.75 million (Q2 2026), $80.34 million (Q1 2026) and $88.67 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 1.77 Bn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | 1.82 Bn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 1.47 Bn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 1.99 Bn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 375.26 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 3.52 Bn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 384.90 Mn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 923.40 Mn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 314.34 Mn |
| 10 | Bassett Furniture Industries | 186.31 Mn | -31.17 Mn | 47.62 Mn | 82.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 82.84 Mn |
| May 30, 2026 | 83.75 Mn |
| Feb 28, 2026 | 80.34 Mn |
| Nov 29, 2025 | 88.67 Mn |
| Aug 30, 2025 | 80.10 Mn |
| May 31, 2025 | 84.35 Mn |
| Mar 1, 2025 | 82.16 Mn |
| Nov 30, 2024 | 84.34 Mn |
| Aug 31, 2024 | 75.62 Mn |
| Jun 1, 2024 | 83.41 Mn |
| Mar 2, 2024 | 86.55 Mn |
| Nov 25, 2023 | 94.70 Mn |
| Aug 26, 2023 | 87.22 Mn |
| May 27, 2023 | 100.52 Mn |
| Feb 25, 2023 | 107.70 Mn |
| Nov 26, 2022 | 121.02 Mn |
| Aug 27, 2022 | 118.01 Mn |
| May 28, 2022 | 128.71 Mn |
| Feb 26, 2022 | 117.86 Mn |
| Nov 27, 2021 | 129.90 Mn |
Bassett Furniture Industries 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=revenue&ticker=BSET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=BSET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();