HomesToLife (HTLM) Net Cash Flow (2024 - 2026)
HomesToLife's Net Cash Flow was -$8.34 million in the quarter ended Jun 30, 2026, compared with -$4.21 million a year earlier.
HomesToLife (HTLM) Net Cash Flow (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, HomesToLife's Net Cash Flow was -$14.59 million through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $1.97 million.
- Net Cash Flow shows a three-year compound annual growth rate of 35.0% (years ended Dec 2022 to Dec 2025).
- In earlier years, Net Cash Flow was -$5.66 million in the year ended Dec 31, 2024, -$4.71 million in the year ended Dec 31, 2023 and $798,037 in the year ended Dec 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 31.91 Bn | 29.35 Bn | 1.17 Bn | -285.31 Mn |
| 2 | Somnigroup International | 14.46 Bn | 13.50 Bn | 987.70 Mn | 509.00 Mn |
| 3 | Hni | 3.56 Bn | 3.24 Bn | 678.50 Mn | 6.70 Mn |
| 4 | Newell Brands | 2.53 Bn | 1.66 Bn | 649.00 Mn | 44.00 Mn |
| 5 | Arhaus | 2.11 Bn | 1.13 Bn | 144.42 Mn | 91.67 Mn |
| 6 | Whirlpool | 2.00 Bn | -1.65 Bn | 473.00 Mn | -134.00 Mn |
| 7 | Sonos | 2.00 Bn | 2.00 Bn | 158.73 Mn | - |
| 8 | Cricut | 1.81 Bn | 714.91 Mn | 108.88 Mn | -92.30 Mn |
| 9 | Millerknoll | 1.51 Bn | 871.52 Mn | 385.30 Mn | 12.20 Mn |
| 10 | HomesToLife | 97.76 Mn | 4.16 Mn | 30.13 Mn | -8.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.34 Mn |
| Mar 31, 2026 | -424,891.00 |
| Dec 31, 2025 | 5.90 Mn |
| Sep 30, 2025 | 1.90 Mn |
| Jun 30, 2025 | -4.21 Mn |
| Mar 31, 2025 | -1.62 Mn |
| Dec 31, 2024 | -7.39 Mn |
| Sep 30, 2024 | 5.09 Mn |
| Jun 30, 2024 | -3.74 Mn |
| Mar 31, 2024 | 380,469.00 |
HomesToLife Net Cash Flow 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=net-cash-flow&ticker=HTLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=HTLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();