Hooker Furnishings (HOFT) Asset Writedowns and Impairment (2012 - 2025)
Hooker Furnishings' Asset Writedowns and Impairment came in at $15.58 million for FY2026 (year ended Feb 1, 2026), compared with $1.06 million in FY2025.
Hooker Furnishings (HOFT) Asset Writedowns and Impairment (2012 - 2025) Analysis & Trends
Going back to FY2009, Hooker Furnishings' Asset Writedowns and Impairment data covers 9 fiscal years.
- Asset Writedowns and Impairment carries a five-year compound annual growth rate of 26.5% (FY2021 to FY2026).
- The FY2026 figure represents the highest annual Asset Writedowns and Impairment since FY2023.
- Per Business Quant, earlier fiscal years put Asset Writedowns and Impairment at $1.06 million in FY2025, $28.8 million in FY2023 (+746.6%) and $3.4 million in FY2022 (-29.1%).
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 |
|---|---|
| Nov 2, 2025 | 15.58 Mn |
| Oct 27, 2024 | 781,000.00 |
| Jan 29, 2023 | 24.40 Mn |
| Jan 30, 2022 | 3.40 Mn |
| May 3, 2020 | 44.32 Mn |
| Jan 29, 2012 | 1.82 Mn |
Hooker Furnishings Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=HOFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=HOFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();