HomesToLife (HTLM) Receivables (2023 - 2026)
HomesToLife (HTLM) reported Receivables of $74.81 million for the quarter ended Jun 30, 2026, down 2.4% from $76.64 million a year earlier but up 486.4% from the prior quarter.
HomesToLife (HTLM) Receivables (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, HomesToLife posted Receivables of $83.04 million, up 19.1% from the prior year.
- By year, Receivables came in at $69.74 million in the year ended Dec 31, 2024 and $1.03 million in the year ended Dec 31, 2023.
- Five-year quarterly Receivables spans a low of $857,694 in the quarter ended Jun 30, 2024 and a high of $83.04 million in the quarter ended Dec 31, 2025.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $12.76 million (quarter ended Mar 31, 2026), $83.04 million (quarter ended Dec 31, 2025) and $11.81 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.69 Bn | 29.13 Bn | 1.17 Bn | 2.16 Bn |
| 2 | Somnigroup International | 13.47 Bn | 13.01 Bn | 817.20 Mn | 361.40 Mn |
| 3 | Hni | 3.53 Bn | 3.02 Bn | 678.50 Mn | - |
| 4 | Newell Brands | 2.47 Bn | 1.61 Bn | 649.00 Mn | 1.19 Bn |
| 5 | Arhaus | 2.10 Bn | 1.18 Bn | 172.07 Mn | 236,000.00 |
| 6 | Whirlpool | 2.01 Bn | -1.62 Bn | 473.00 Mn | 1.71 Bn |
| 7 | Sonos | 1.98 Bn | 882.58 Mn | 189.31 Mn | 117.19 Mn |
| 8 | Cricut | 1.78 Bn | 692.26 Mn | 108.88 Mn | 105.44 Mn |
| 9 | Millerknoll | 1.50 Bn | 796.73 Mn | 385.30 Mn | 344.40 Mn |
| 10 | HomesToLife | 96.86 Mn | 6.71 Mn | - | 74.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.81 Mn |
| Dec 31, 2025 | 83.04 Mn |
| Jun 30, 2025 | 76.64 Mn |
| Mar 31, 2025 | 2.91 Mn |
| Dec 31, 2024 | 69.74 Mn |
| Jun 30, 2024 | 854,188.00 |
| Dec 31, 2023 | 1.05 Mn |
HomesToLife Receivables 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=receivables&ticker=HTLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=HTLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();