Hooker Furnishings (HOFT) EV to EBITDA (2011 - 2026)
Hooker Furnishings' (HOFT) EV to EBITDA came in at 191.55 for fiscal Q2 2025 (quarter ended Oct 27, 2024).
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Analysis
Hooker Furnishings (HOFT) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Oct 27, 2024, EV to EBITDA at Hooker Furnishings was 29.48; for FY2024 (ended Jan 28, 2024), it was 9.30, down 87.8% from FY2023.
- In prior fiscal years, Hooker Furnishings' EV to EBITDA was 76.09 in FY2023 (+849.9%), 8.01 in FY2022 and 8.58 in FY2020 (+55.0%).
- The fiscal Q2 2025 figure stands as the highest quarterly EV to EBITDA since fiscal Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn |
| 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 |
|---|---|
| Aug 2, 2026 | 26.41 |
| May 4, 2025 | 12.76 |
| Oct 27, 2024 | 16.85 |
| Apr 28, 2024 | 9.16 |
| Apr 30, 2023 | 210.56 |
| Jan 29, 2023 | 76.11 |
| Oct 30, 2022 | 7.64 |
| Jul 31, 2022 | 14.55 |
| May 1, 2022 | 12.89 |
| Jan 30, 2022 | 8.01 |
| Oct 31, 2021 | 6.40 |
| Aug 1, 2021 | 6.83 |
| May 2, 2021 | 7.68 |
| Feb 2, 2020 | 8.58 |
| Nov 3, 2019 | 6.26 |
| Aug 4, 2019 | 4.65 |
| May 5, 2019 | 6.20 |
| Feb 3, 2019 | 5.42 |
| Oct 28, 2018 | 5.38 |
| Jul 29, 2018 | 9.09 |
API Access
Hooker Furnishings EV to EBITDA 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=ev-to-ebitda&ticker=HOFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=HOFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();