Hooker Furnishings (HOFT) FCF Payout Ratio (2010 - 2026)
Hooker Furnishings' (HOFT) FCF Payout Ratio stood at 0.14 in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 54.0% from the prior quarter.
Hooker Furnishings (HOFT) FCF Payout Ratio (2010 - 2026) Analysis & Trends
On a TTM basis, Hooker Furnishings' FCF Payout Ratio came in at 0.24 as of Aug 2, 2026; for FY2026 (ended Feb 1, 2026), it was 0.58.
- Across earlier fiscal years, FCF Payout Ratio came in at 0.16 in FY2024 and 0.70 in FY2022 (+502.9%).
- Quarterly FCF Payout Ratio has ranged from 0.09 in fiscal Q2 2024 to 3.87 in fiscal Q4 2024 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.69 Bn | 29.13 Bn | 1.17 Bn | - |
| 2 | Somnigroup International | 13.47 Bn | 13.01 Bn | 817.20 Mn | - |
| 3 | Hni | 3.53 Bn | 3.02 Bn | 678.50 Mn | - |
| 4 | Newell Brands | 2.47 Bn | 1.61 Bn | 649.00 Mn | 0.12 |
| 5 | Arhaus | 2.10 Bn | 1.18 Bn | 172.07 Mn | - |
| 6 | Whirlpool | 2.01 Bn | -1.62 Bn | 473.00 Mn | - |
| 7 | Sonos | 1.98 Bn | 882.58 Mn | 189.31 Mn | - |
| 8 | Cricut | 1.78 Bn | 692.26 Mn | 108.88 Mn | - |
| 9 | Millerknoll | 1.50 Bn | 796.73 Mn | 385.30 Mn | - |
| 10 | Hooker Furnishings | 153.11 Mn | 121.37 Mn | 20.10 Mn | 0.14 |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 0.14 |
| May 3, 2026 | 0.09 |
| May 4, 2025 | 0.14 |
| Apr 28, 2024 | 3.87 |
| Jul 30, 2023 | 0.09 |
| Apr 30, 2023 | 0.13 |
| Jan 29, 2023 | 0.13 |
| Oct 30, 2022 | 0.40 |
| Jan 30, 2022 | 0.17 |
| Oct 31, 2021 | 0.10 |
| Jan 31, 2021 | 24.31 |
| Nov 1, 2020 | 0.13 |
| Aug 2, 2020 | 0.06 |
| May 3, 2020 | 0.10 |
| Feb 2, 2020 | 0.13 |
| Nov 3, 2019 | 0.12 |
| May 5, 2019 | 0.09 |
| Oct 28, 2018 | 0.43 |
| Apr 29, 2018 | 0.06 |
| Jan 28, 2018 | 0.74 |
Hooker Furnishings FCF Payout 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=fcf-payout-ratio&ticker=HOFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fcf-payout-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=fcf-payout-ratio&ticker=HOFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();