HomesToLife Ltd (HTLM) Operating Expenses (2024 - 2026)
HomesToLife (HTLM) posted Operating Expenses of -$22.01 million for the quarter ended Mar 31, 2026, compared with -$17.94 million a year earlier.
HomesToLife Ltd (HTLM) Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at HomesToLife was -$42.45 million; for the year ended Dec 31, 2025, it came in at $85.93 million, up 16.9% from the prior year.
- Annual Operating Expenses shows a three-year compound annual growth rate of 207.0% (years ended Dec 2022 to Dec 2025).
- In prior years, HomesToLife's Operating Expenses was $73.52 million in the year ended Dec 31, 2024 (+6.5%), $69.02 million in the year ended Dec 31, 2023 and $2.97 million in the year ended Dec 31, 2022.
- Quarterly Operating Expenses has run from a low of -$769.69 million in the quarter ended Mar 31, 2024 to a high of $735.18 million in the quarter ended Jun 30, 2024 over five years.
- According to Business Quant data, Operating Expenses for the three prior quarters was $23.78 million (quarter ended Dec 31, 2025), -$21.37 million (quarter ended Sep 30, 2025) and -$22.85 million (quarter ended Jun 30, 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -22.01 Mn |
| Dec 31, 2025 | 23.78 Mn |
| Sep 30, 2025 | -21.37 Mn |
| Jun 30, 2025 | -22.85 Mn |
| Mar 31, 2025 | -17.94 Mn |
| Dec 31, 2024 | 20.94 Mn |
| Sep 30, 2024 | -18.06 Mn |
| Jun 30, 2024 | 735.18 Mn |
| Mar 31, 2024 | -769.69 Mn |
HomesToLife Ltd Operating Expenses 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=operating-expenses&ticker=HTLM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HTLM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();