Hooker Furnishings (HOFT) Gains from Sales and Divestitures (2010 - 2026)
Hooker Furnishings (HOFT) recorded Gains from Sales and Divestitures of -$9,000 in fiscal Q2 2027 (quarter ended Aug 2, 2026).
Hooker Furnishings (HOFT) Gains from Sales and Divestitures (2010 - 2026) Analysis & Trends
On a TTM basis, Hooker Furnishings' Gains from Sales and Divestitures came in at -$37,000 as of Aug 2, 2026; for FY2026 (ended Feb 1, 2026), it came in at -$27,000.
- Across earlier fiscal years, Gains from Sales and Divestitures came in at -$35,000 in FY2024, -$94,000 in FY2023 and $18,000 in FY2022.
- Quarterly Gains from Sales and Divestitures has ranged from -$94,000 in fiscal Q4 2023 to $2,000 in fiscal Q1 2027 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn |
| 10 | Hooker Furnishings | 141.27 Mn | 109.53 Mn | 20.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | -9,000.00 |
| May 3, 2026 | 2,000.00 |
| May 4, 2025 | -15,000.00 |
| Oct 29, 2023 | 1,000.00 |
| Jan 29, 2023 | -94,000.00 |
| Nov 3, 2019 | -14,000.00 |
| Aug 4, 2019 | 11,000.00 |
| May 5, 2019 | 274,000.00 |
| Feb 3, 2019 | 7,000.00 |
| Oct 28, 2018 | 18,000.00 |
| Jul 29, 2018 | 29,000.00 |
| Apr 29, 2018 | 19,000.00 |
| Jan 28, 2018 | -608,000.00 |
| Oct 29, 2017 | -6,000.00 |
| Jul 30, 2017 | 23,000.00 |
| Apr 30, 2017 | 20,000.00 |
| Jan 29, 2017 | 12,000.00 |
| Oct 30, 2016 | 24,000.00 |
| Jul 31, 2016 | 21,000.00 |
| May 1, 2016 | 15,000.00 |
Hooker Furnishings Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=HOFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "HOFT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=HOFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();