E-Home Household Service Holdings Ltd

Finanzas de E-Home Household Service Holdings Ltd (EJH)

$1.320

+0.010 (+0.76%)Al cierre

Fuentes de ingresos de EJH

E-Home Household Service Holdings Ltd (EJH) generates its revenue through a diversified portfolio of business segments. Currently, the largest contributor to its top-line growth is Installation and maintenance, accounting for 56.2% of total sales, equivalent to $15.15M. Other significant revenue streams include Housekeeping and Senior care services. Understanding this composition is critical for investors evaluating how EJH navigates market cycles within the Business Support Services industry.

Rentabilidad y márgenes de EJH

Evaluating the bottom line, E-Home Household Service Holdings Ltd maintains a gross margin of 23.42%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at -0.48%, while the net margin is -0.42%. These profitability ratios, combined with a Return on Equity (ROE) of 0.42%, provide a clear picture of how effectively EJH converts its operational activities into shareholder value.

Comparativa sectorial de EJH

In the context of the broader market, EJH competes directly with industry leaders such as AMBO and MRM. With a market capitalization of $4.03M, it holds a significant position in the sector. When comparing efficiency, EJH's gross margin of 23.42% stands against AMBO's 51.40% and MRM's 10.83%. Such benchmarking helps identify whether E-Home Household Service Holdings Ltd is trading at a premium or discount relative to its financial performance.

Desempeño financiero de E-Home Household Service Holdings Ltd

The stock's current price is $1.32, with a forward P/E ratio of 0, indicating potential for future earnings growth despite current losses. The price-to-sales ratio is very low at 0.084981, suggesting the stock is undervalued relative to its sales.

Financials

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Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.

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