Bassett Furniture Industries (BSET) Cash & Equivalents (2010 - 2026)
Bassett Furniture Industries' Cash & Equivalents came in at $35.37 million for fiscal Q3 2026 (quarter ended Aug 29, 2026), up 2.8% from $34.41 million a year earlier but down 1.5% from the prior quarter.
Bassett Furniture Industries (BSET) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 29, 2025), Bassett Furniture Industries' Cash & Equivalents was $41.28 million, up 4.4% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $39.55 million in FY2024 (-24.5%), $52.41 million in FY2023 (-15.0%), $61.63 million in FY2022 (+79.3%) and $34.37 million in FY2021 (-24.9%).
- The five-year range for quarterly Cash & Equivalents is $31.88 million (fiscal Q1 2022) to $71.61 million (fiscal Q2 2022).
- Year-over-year, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 8.0%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2022 (growth of 79.3%), and the weakest in fiscal Q1 2022 (a decline of 29.2%).
- Business Quant data shows BSET's Cash & Equivalents at $35.9 million (Q2 2026), $32.99 million (Q1 2026) and $41.28 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.06 Bn | 25.73 Bn | 860.34 Mn | 779.83 Mn |
| 2 | Somnigroup International | 13.61 Bn | 13.15 Bn | 817.20 Mn | 112.00 Mn |
| 3 | Hni | 3.42 Bn | 2.99 Bn | 647.20 Mn | 105.00 Mn |
| 4 | Newell Brands | 2.36 Bn | 1.52 Bn | 812.00 Mn | 209.00 Mn |
| 5 | Sonos | 2.10 Bn | 995.00 Mn | 189.31 Mn | 206.89 Mn |
| 6 | Whirlpool | 1.83 Bn | -1.64 Bn | 442.00 Mn | 1.24 Bn |
| 7 | Arhaus | 1.65 Bn | 726.87 Mn | 172.07 Mn | 226.40 Mn |
| 8 | Corsair Gaming | 1.49 Bn | 1.02 Bn | 104.29 Mn | 192.24 Mn |
| 9 | Millerknoll | 1.48 Bn | 774.21 Mn | 385.30 Mn | 178.60 Mn |
| 10 | Bassett Furniture Industries | 189.15 Mn | -28.33 Mn | 47.62 Mn | 35.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 35.37 Mn |
| May 30, 2026 | 35.90 Mn |
| Feb 28, 2026 | 32.99 Mn |
| Nov 29, 2025 | 41.28 Mn |
| Aug 30, 2025 | 34.41 Mn |
| May 31, 2025 | 39.43 Mn |
| Mar 1, 2025 | 36.06 Mn |
| Nov 30, 2024 | 39.55 Mn |
| Aug 31, 2024 | 38.33 Mn |
| Jun 1, 2024 | 42.65 Mn |
| Mar 2, 2024 | 40.61 Mn |
| Nov 25, 2023 | 52.41 Mn |
| Aug 26, 2023 | 48.01 Mn |
| May 27, 2023 | 54.60 Mn |
| Feb 25, 2023 | 54.89 Mn |
| Nov 26, 2022 | 61.63 Mn |
| Aug 27, 2022 | 66.87 Mn |
| May 28, 2022 | 71.61 Mn |
| Feb 26, 2022 | 31.88 Mn |
| Nov 27, 2021 | 34.37 Mn |
Bassett Furniture Industries Cash & Equivalents 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=cash-and-equivalents&ticker=BSET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BSET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();