Bassett Furniture Industries (BSET) Exchange Rate Effect (2022 - 2024)
Bassett Furniture Industries (BSET) posted Exchange Rate Effect of -$27,000 for fiscal Q4 2024 (quarter ended Nov 30, 2024), compared with $85,000 a year earlier.
Bassett Furniture Industries (BSET) Exchange Rate Effect (2022 - 2024) Analysis & Trends
For FY2024 (ended Nov 30, 2024), Bassett Furniture Industries' Exchange Rate Effect came in at -$21,000.
- In prior fiscal years, Bassett Furniture Industries' Exchange Rate Effect was $48,000 in FY2023 and -$58,000 in FY2022.
- The fiscal Q4 2024 figure stands as the lowest quarterly Exchange Rate Effect since fiscal Q1 2023.
- According to Business Quant data, Exchange Rate Effect for the three prior fiscal quarters was $5,000 (Q3 2024), -$8,000 (Q2 2024) and $9,000 (Q1 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 87,000.00 |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | -1.40 Mn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 1.00 Mn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | -1.67 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 6.00 Mn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | - |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | -1.30 Mn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | -691,000.00 |
| 10 | Bassett Furniture Industries | 186.31 Mn | -31.17 Mn | 47.62 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2024 | -27,000.00 |
| Aug 31, 2024 | 5,000.00 |
| Jun 1, 2024 | -8,000.00 |
| Mar 2, 2024 | 9,000.00 |
| Nov 25, 2023 | 85,000.00 |
| Aug 26, 2023 | 5,000.00 |
| May 27, 2023 | -13,000.00 |
| Feb 25, 2023 | -29,000.00 |
| Nov 26, 2022 | -58,000.00 |
Bassett Furniture Industries Exchange Rate Effect 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=exchange-rate-effect&ticker=BSET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=BSET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();