HomesToLife (HTLM) Receivables - Other (2023 - 2026)
HomesToLife's Receivables - Other was $3.32 million in the quarter ended Mar 31, 2026, up 694.4% from $418,551 a year earlier but down 52.7% from the prior quarter.
HomesToLife (HTLM) Receivables - Other (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, Receivables - Other at HomesToLife came in at $7.03 million, up 150.2% from the prior year.
- In earlier years, Receivables - Other was $2.81 million in the year ended Dec 31, 2024 (+284.5%) and $730,300 in the year ended Dec 31, 2023.
- Quarterly Receivables - Other has moved between $418,551 (the quarter ended Mar 31, 2025) and $7.03 million (the quarter ended Dec 31, 2025) over five years.
- Per Business Quant data, HTLM's Receivables - Other in the three quarters before the quarter ended Mar 31, 2026 was $7.03 million (quarter ended Dec 31, 2025), $4.83 million (quarter ended Sep 30, 2025) and $4.97 million (quarter ended Jun 30, 2025).
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
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.32 Mn |
| Dec 31, 2025 | 7.03 Mn |
| Sep 30, 2025 | 4.83 Mn |
| Jun 30, 2025 | 4.97 Mn |
| Mar 31, 2025 | 418,551.00 |
| Dec 31, 2024 | 2.81 Mn |
| Jun 30, 2024 | 4.58 Mn |
| Dec 31, 2023 | 915,507.73 |
HomesToLife Receivables - Other 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-other&ticker=HTLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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-other&ticker=HTLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();