Bassett Furniture Industries (BSET) Receivables (2010 - 2026)
Bassett Furniture Industries' Receivables came in at $14.27 million for fiscal Q3 2026 (quarter ended Aug 29, 2026), up 8.7% from $13.14 million a year earlier and up 13.6% from the prior quarter.
Bassett Furniture Industries (BSET) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 29, 2025), Bassett Furniture Industries' Receivables was $14.41 million, up 9.3% from FY2024.
- Receivables carries a five-year compound annual growth rate of -8.4% (FY2020 to FY2025).
- Going back by fiscal year, Receivables was $13.18 million in FY2024 (-4.0%), $13.74 million in FY2023 (-23.0%), $17.84 million in FY2022 (-13.3%) and $20.57 million in FY2021 (-7.9%).
- The five-year range for quarterly Receivables is $12.56 million (fiscal Q2 2026) to $25.6 million (fiscal Q1 2022).
- Year-over-year, Receivables increased in five of the last eight quarters, with growth averaging 1.7%.
- The fastest year-over-year change in Receivables over five years came in fiscal Q4 2025 (growth of 9.3%), and the weakest in fiscal Q2 2023 (a decline of 35.0%).
- Business Quant data shows BSET's Receivables at $12.56 million (Q2 2026), $14.66 million (Q1 2026) and $14.41 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 1.63 Bn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | 361.40 Mn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 1.31 Bn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 117.19 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 1.24 Bn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 236,000.00 |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 344.40 Mn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 159.82 Mn |
| 10 | Bassett Furniture Industries | 186.31 Mn | -31.17 Mn | 47.62 Mn | 14.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 14.27 Mn |
| May 30, 2026 | 12.56 Mn |
| Feb 28, 2026 | 14.66 Mn |
| Nov 29, 2025 | 14.41 Mn |
| Aug 30, 2025 | 13.14 Mn |
| May 31, 2025 | 12.88 Mn |
| Mar 1, 2025 | 14.22 Mn |
| Nov 30, 2024 | 13.18 Mn |
| Aug 31, 2024 | 12.97 Mn |
| Jun 1, 2024 | 13.50 Mn |
| Mar 2, 2024 | 13.94 Mn |
| Nov 25, 2023 | 13.74 Mn |
| Aug 26, 2023 | 15.34 Mn |
| May 27, 2023 | 14.83 Mn |
| Feb 25, 2023 | 18.31 Mn |
| Nov 26, 2022 | 17.84 Mn |
| Aug 27, 2022 | 20.95 Mn |
| May 28, 2022 | 22.84 Mn |
| Feb 26, 2022 | 25.60 Mn |
| Nov 27, 2021 | 20.57 Mn |
Bassett Furniture Industries Receivables 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=receivables&ticker=BSET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=BSET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();