HomesToLife (HTLM) Total Debt (2023 - 2026)
HomesToLife (HTLM) recorded Total Debt of $7.26 million in the quarter ended Jun 30, 2026, down 68.9% from $23.38 million a year earlier but up 98.1% from the prior quarter.
HomesToLife (HTLM) Total Debt (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, HomesToLife reported Total Debt of $10.39 million, down 32.3% from the prior year.
- Across earlier years, Total Debt came in at $15.35 million in the year ended Dec 31, 2024 and $92,648 in the year ended Dec 31, 2023.
- Quarterly Total Debt has ranged from $92,452 in the quarter ended Jun 30, 2024 to $23.38 million in the quarter ended Jun 30, 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $3.67 million (quarter ended Mar 31, 2026), $10.39 million (quarter ended Dec 31, 2025) and $10.13 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.91 Bn | 29.35 Bn | 1.17 Bn | 706.63 Mn |
| 2 | Somnigroup International | 14.46 Bn | 13.50 Bn | 987.70 Mn | 5.38 Bn |
| 3 | Hni | 3.56 Bn | 3.24 Bn | 678.50 Mn | 1.35 Bn |
| 4 | Newell Brands | 2.53 Bn | 1.66 Bn | 649.00 Mn | 4.84 Bn |
| 5 | Arhaus | 2.11 Bn | 1.13 Bn | 144.42 Mn | - |
| 6 | Whirlpool | 2.00 Bn | -1.65 Bn | 473.00 Mn | 6.85 Bn |
| 7 | Sonos | 2.00 Bn | 2.00 Bn | 158.73 Mn | - |
| 8 | Cricut | 1.81 Bn | 714.91 Mn | 108.88 Mn | - |
| 9 | Millerknoll | 1.51 Bn | 871.52 Mn | 385.30 Mn | 1.31 Bn |
| 10 | HomesToLife | 97.76 Mn | 4.16 Mn | 30.13 Mn | 22.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.20 Mn |
| Mar 31, 2026 | 3.67 Mn |
| Dec 31, 2025 | 10.39 Mn |
| Sep 30, 2025 | 10.13 Mn |
| Jun 30, 2025 | 23.38 Mn |
| Mar 31, 2025 | 100,658.00 |
| Dec 31, 2024 | 15.35 Mn |
| Jun 30, 2024 | 92,074.00 |
| Dec 31, 2023 | 94,774.21 |
HomesToLife Total Debt 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=total-debt&ticker=HTLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=HTLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();