HomesToLife (HTLM) Price to Earnings (2024 - 2026)
HomesToLife's (HTLM) Price to Earnings stood at 14.10 in the quarter ended Jun 30, 2026, up 250.6% from 4.02 a year earlier and up 58.2% from the prior quarter.
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Analysis
HomesToLife (HTLM) Price to Earnings (2024 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, HomesToLife's Price to Earnings came in at 13.11, down 9.1% from the prior year.
- Across earlier years, Price to Earnings came in at 14.42 in the year ended Dec 31, 2024.
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Price to Earnings since the quarter ended Dec 31, 2024.
- Per Business Quant, the preceding three quarters came in at 8.91 (quarter ended Mar 31, 2026), 13.11 (quarter ended Dec 31, 2025) and 3.59 (quarter ended Sep 30, 2025).
Peer Set
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 | HomesToLife | 173.99 Mn | 80.39 Mn | 30.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.10 |
| Mar 31, 2026 | 8.91 |
| Dec 31, 2025 | 13.11 |
| Sep 30, 2025 | 3.59 |
| Jun 30, 2025 | 4.02 |
| Mar 31, 2025 | 5.39 |
| Dec 31, 2024 | 14.42 |
API Access
HomesToLife Price to Earnings 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-earnings&ticker=HTLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "HTLM", "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-earnings&ticker=HTLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();