Hooker Furnishings (HOFT) Price to Book (2010 - 2026)
Hooker Furnishings' (HOFT) Price to Book was 0.89 for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 15.0% from the prior quarter.
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Analysis
Hooker Furnishings (HOFT) Price to Book (2010 - 2026) Analysis & Trends
For FY2026 (ended Feb 1, 2026), Price to Book at Hooker Furnishings was 0.84.
- By fiscal year, Price to Book came in at 0.51 in FY2025 (-39.0%), 0.84 in FY2024, 0.97 in FY2023 (+1.3%) and 0.96 in FY2022 (-30.9%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Price to Book since fiscal Q2 2024.
- The high point for year-over-year Price to Book in five years was fiscal Q2 2024 (growth of 29.5%); the low point was fiscal Q1 2023 (a decline of 54.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn |
| 10 | Hooker Furnishings | 139.24 Mn | 107.49 Mn | 20.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 0.89 |
| May 3, 2026 | 0.77 |
| Feb 1, 2026 | 0.84 |
| Nov 2, 2025 | 0.58 |
| Aug 3, 2025 | 0.51 |
| May 4, 2025 | 0.51 |
| Feb 2, 2025 | 0.67 |
| Oct 27, 2024 | 0.81 |
| Jul 28, 2024 | 0.78 |
| Apr 28, 2024 | 0.84 |
| Jan 28, 2024 | 1.18 |
| Oct 29, 2023 | 0.77 |
| Jul 30, 2023 | 0.97 |
| Apr 30, 2023 | 0.75 |
| Jan 29, 2023 | 0.97 |
| Oct 30, 2022 | 0.65 |
| Jul 31, 2022 | 0.75 |
| May 1, 2022 | 0.77 |
| Jan 30, 2022 | 0.96 |
| Oct 31, 2021 | 1.12 |
API Access
Hooker Furnishings Price to Book 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=price-to-book&ticker=HOFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=HOFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();