HomesToLife (HTLM) Operating Leases (2023 - 2026)
HomesToLife's Operating Leases was $5.12 million in the quarter ended Mar 31, 2026, up 164.9% from $1.93 million a year earlier but down 8.0% from the prior quarter.
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Analysis
HomesToLife (HTLM) Operating Leases (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, Operating Leases at HomesToLife came in at $5.57 million, up 14.1% from the prior year.
- In earlier years, Operating Leases was $4.88 million in the year ended Dec 31, 2024 (+129.3%) and $2.13 million in the year ended Dec 31, 2023.
- Quarterly Operating Leases has moved between $1.84 million (the quarter ended Jun 30, 2024) and $5.57 million (the quarter ended Dec 31, 2025) over five years.
- Per Business Quant data, HTLM's Operating Leases in the three quarters before the quarter ended Mar 31, 2026 was $5.57 million (quarter ended Dec 31, 2025), $4.48 million (quarter ended Sep 30, 2025) and $2.32 million (quarter ended Jun 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.70 Bn | 23.37 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.64 Bn | 817.20 Mn |
| 3 | Hni | 3.37 Bn | 2.94 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.27 Bn | 1.42 Bn | 812.00 Mn |
| 5 | Sonos | 2.11 Bn | 1.01 Bn | 189.31 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 999.46 Mn | 104.29 Mn |
| 8 | Millerknoll | 1.37 Bn | 735.34 Mn | 385.30 Mn |
| 9 | Cricut | 1.34 Bn | 317.37 Mn | 116.41 Mn |
| 10 | HomesToLife | 173.99 Mn | 78.26 Mn | 26.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.12 Mn |
| Dec 31, 2025 | 5.57 Mn |
| Sep 30, 2025 | 4.48 Mn |
| Jun 30, 2025 | 2.32 Mn |
| Mar 31, 2025 | 1.93 Mn |
| Dec 31, 2024 | 4.88 Mn |
| Jun 30, 2024 | 1.84 Mn |
| Dec 31, 2023 | 2.08 Mn |
API Access
HomesToLife Operating Leases 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=operating-leases&ticker=HTLM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=HTLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();