Hooker Furnishings (HOFT) Debt Ratio (2016 - 2026)
Hooker Furnishings' (HOFT) Debt Ratio stood at 0.01 in fiscal Q4 2026 (quarter ended Feb 1, 2026).
Analysis
Hooker Furnishings (HOFT) Debt Ratio (2016 - 2026) Analysis & Trends
Starting with fiscal Q1 2017, Hooker Furnishings' Debt Ratio history includes 32 quarters.
- Across earlier fiscal years, Debt Ratio came in at 0.07 in FY2025 (+10.7%), 0.07 in FY2024 and 0.06 in FY2023.
- The fiscal Q4 2026 figure is the lowest quarterly Debt Ratio in data going back to fiscal Q1 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 0.13 |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | 0.38 |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 0.29 |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 0.45 |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | - |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 0.41 |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 0.10 |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 0.32 |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | - |
| 10 | Hooker Furnishings | 140.63 Mn | 108.89 Mn | 20.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 1, 2026 | 0.01 |
| Nov 2, 2025 | 0.02 |
| Aug 3, 2025 | 0.02 |
| May 4, 2025 | 0.07 |
| Feb 2, 2025 | 0.07 |
| Oct 27, 2024 | 0.07 |
| Jul 28, 2024 | 0.07 |
| Apr 28, 2024 | 0.07 |
| Jan 28, 2024 | 0.07 |
| Oct 29, 2023 | 0.07 |
| Jul 30, 2023 | 0.07 |
| Apr 30, 2023 | 0.07 |
| Jan 29, 2023 | 0.06 |
| Oct 30, 2022 | 0.06 |
| Jul 31, 2022 | 0.06 |
| Nov 1, 2020 | 0.07 |
| Aug 2, 2020 | 0.08 |
| May 3, 2020 | 0.08 |
| Feb 2, 2020 | 0.08 |
| Nov 3, 2019 | 0.08 |
API Access
Hooker Furnishings Debt Ratio 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=debt-ratio&ticker=HOFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=HOFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();