HomesToLife (HTLM) Receivables - Net (2023 - 2026)
HomesToLife's Receivables - Net came in at $74.81 million for the quarter ended Jun 30, 2026, up 4.4% from $71.67 million a year earlier and up 693.1% from the prior quarter.
HomesToLife (HTLM) Receivables - Net (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, HomesToLife's Receivables - Net was $76.01 million, up 13.6% from the prior year.
- Going back by year, Receivables - Net was $66.93 million in the year ended Dec 31, 2024 and $113,395 in the year ended Dec 31, 2023.
- The five-year range for quarterly Receivables - Net is $110,809 (the quarter ended Dec 31, 2023) to $76.01 million (the quarter ended Dec 31, 2025).
- Year-over-year, Receivables - Net has increased for three consecutive quarters.
- Business Quant data shows HTLM's Receivables - Net at $9.43 million (quarter ended Mar 31, 2026), $76.01 million (quarter ended Dec 31, 2025) and $6.97 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 28.02 Bn | 25.69 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.26 Bn | 12.80 Bn | 817.20 Mn |
| 3 | Hni | 3.26 Bn | 2.83 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.37 Bn | 1.52 Bn | 812.00 Mn |
| 5 | Sonos | 2.08 Bn | 977.15 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn |
| 7 | Arhaus | 1.55 Bn | 631.38 Mn | 172.07 Mn |
| 8 | Corsair Gaming | 1.48 Bn | 1.01 Bn | 104.29 Mn |
| 9 | Millerknoll | 1.41 Bn | 705.96 Mn | 385.30 Mn |
| 10 | HomesToLife | 153.81 Mn | 60.21 Mn | 30.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.81 Mn |
| Dec 31, 2025 | 76.01 Mn |
| Jun 30, 2025 | 71.67 Mn |
| Mar 31, 2025 | 2.49 Mn |
| Dec 31, 2024 | 66.93 Mn |
| Jun 30, 2024 | 175,469.00 |
| Dec 31, 2023 | 113,352.02 |
HomesToLife Receivables - Net 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-net&ticker=HTLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=HTLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();