HomesToLife Stock Performance

HTLM Stock   1.98  0.05  2.59%   
The company owns a Market Sensitivity (Beta) of 0.18, which means very low measured sensitivity to broad market movements. As returns on the market increase, HomesToLife's returns are expected to increase less than the market. However, during a bear market, the loss from holding HomesToLife is expected to be smaller as well. At this point, HomesToLife has a negative expected return of -0.0991%.
Risk-Adjusted Performance
Weak
 
Weak
 
Strong
HomesToLife has delivered negative risk-adjusted returns across the last 90 days, suggesting that volatility was not compensated by return. This reading is usually reviewed beside volatility, downside risk, and benchmark-relative behavior before conviction is increased. In spite of very healthy essential indicators, HomesToLife is not utilizing all of its potential. The newest price disarray may contribute to short-term losses for investors. Learn More
Begin Period Cash Flow1.4 M
Total Cashflows From Investing Activities-124 K
Free Cash Flow-1.1 M

Relative Risk vs. Return Landscape

If you had invested $ 252.00 in HomesToLife on December 23, 2025 and sold it today you would have lost $ 54.00 from holding HomesToLife or given up 21.43% of portfolio value over 90 days. HomesToLife does not currently generate positive expected returns and carries 9.4515% risk (volatility on return distribution) over a 90-day horizon. In different words, 84% of stocks are less volatile than HomesToLife, and 99% of all traded equity instruments are projected to make higher returns than the company over the 90 days investment horizon.
  Expected Return   
       Risk  
This benchmark view frames the instrument through return capture and volatility trade-offs. It is most useful when expected return is read together with volatility rather than in isolation. Given the investment horizon of 90 days HomesToLife is expected to under-perform the market. In addition to that, the company is 11.18 times more volatile than its market benchmark. It trades about -0.01 of its total potential returns per unit of risk. The Dow Jones Industrial is currently generating roughly -0.09 per unit of volatility.

Target Price Odds to finish over Current Price

Price convergence toward a historical mean is a well-documented pattern for stocks like HomesToLife Stock. Although this tendency is a useful forecasting input, some instruments remain persistently mispriced before market correction. Periods of persistent mispricing in some stocks highlight the role of additional risk in pricing dynamics. This framework supports more structured thinking about where HomesToLife Stock price is likely to settle over time.
Current PriceHorizonTarget PriceOdds moving above the current price in 90 days
1.98 90 days 1.98
about 84.13
Our distribution model estimates the likelihood of HomesToLife moving above the current price in 90 days from now at about 84.13 . That implies the recent risk-reward balance still leans to the upside over this window. (This HomesToLife distribution emphasizes the price range most consistent with recent behavior in HomesToLife Stock over a 90-day period).
Given the investment horizon of 90 days HomesToLife has a beta of 0.18. This usually indicates as returns on the market go up, HomesToLife's average returns are expected to increase less than the benchmark. However, during a bear market, the loss from holding HomesToLife is expected to be smaller as well. Additionally, HomesToLife has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   HomesToLife Price Density   
       Price  

Predictive Modules for HomesToLife

Investors use a wide range of techniques to forecast HomesToLife within the stock market. Combining results from different methods frames the confidence level investors can assign to HomesToLife predictions. Evaluating multiple forecasts helps separate persistent signals from short-term noise in HomesToLife price data. For HomesToLife, the combination of techniques matters more than the precision of any individual forecast.
Statistical evidence for mean reversion in HomesToLife's can be observed through its tendency to revert after extreme valuations. Investors who believe in mean reversion view HomesToLife's price extremes as temporary dislocations that may self-correct. Valuation-driven investors use mean reversion to time HomesToLife's investments around historical valuation multiples. Historical data for HomesToLife shows that extreme valuations have tended to normalize over multi-year periods.
Hype
Prediction
LowEstimatedHigh
0.101.9811.43
Details
Intrinsic
Valuation
LowRealHigh
0.091.8711.32
Details
Naive
Forecast
LowNextHigh
0.042.0511.51
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.802.032.25
Details
Assessing HomesToLife's competitive position relative to sector peers reveals where the company stands in its industry. HomesToLife's current valuation may reflect market-wide multiple expansion rather than genuine competitive edge. Competitive analysis of HomesToLife involves measuring HomesToLife's position against direct competitors. Investment merit for HomesToLife is best assessed through the lens of competitive peer performance.

Primary Risk Indicators

Significant market corrections and rallies over the last two decades have made the stock market challenging for HomesToLife investors. Dramatic market moves have periodically reshaped the risk landscape for holders of HomesToLife. Watching for changes in HomesToLife's volatility and market elasticity is one way to limit portfolio losses. A data-driven view of HomesToLife risk supports more disciplined portfolio management decisions.
α
Alpha over Dow Jones
-0.0971
β
Beta against Dow Jones0.18
σ
Overall volatility
0.30
Ir
Information ratio -0.0044

Investor Alerts and Insights

Tracking HomesToLife through automated alerts focuses attention on the most impactful stock developments. Reviewing HomesToLife notifications is an efficient way to stay current on technical patterns and fundamental changes. Systematic monitoring of HomesToLife through automated alerts reduces the risk of missing critical developments. Automated alert systems provide consistency that manual monitoring of HomesToLife cannot match.
HomesToLife generated a negative expected return over the last 90 days
HomesToLife has high historical volatility and very poor performance
HomesToLife may become a speculative penny stock
The company reported previous year's revenue of 3.12 M. Net Loss for the year was -1.67 M with profit before overhead, payroll, taxes, and interest of 0.
HomesToLife generates negative cash flow from operations
About 96.0% of the company shares are held by company insiders

Price Density Drivers

Several forces contribute to HomesToLife's price dynamics, including buyer and seller positioning dynamics and market conditions. Monitoring HomesToLife's price density drivers provides context for distinguishing fundamental from tactical price moves. Key market indicators for HomesToLife reflect the combined effect of buyer and seller positioning dynamics and broader conditions. These indicators are most useful when reviewed consistently alongside HomesToLife's fundamental data.
Common Stock Shares Outstanding14.7 M
Cash And Short Term Investments3.4 M

HomesToLife Fundamentals Growth

Market participants price HomesToLife Stock based on their assessment of HomesToLife's financial trajectory. Revenue and earnings growth, profitability metrics, and debt levels form the core fundamentals driving HomesToLife Stock. Revenue growth, earnings performance, and balance sheet health are critical fundamentals shaping HomesToLife Stock. Long-term performance of HomesToLife Stock depends on HomesToLife's ability to maintain strong fundamental execution.

Performance Metrics & Calculation Methodology

HomesToLife performance is measured on a risk-adjusted basis against benchmarks. Upside capture and downside containment can vary by regime.

Unless otherwise specified, data for HomesToLife is compiled from periodic company reporting and market reference feeds and standardized for comparability. Updates may occur throughout the day. Return and risk statistics are calculated from historical price series.

This content is curated and reviewed by:

Gabriel Shpitalnik - Member of Macroaxis Editorial Board
Last reviewed on March 14th, 2026