$1,398.580
-8.811 (-0.63%)Al cierre
Fuentes de ingresos de MTD
Mettler-Toledo International Inc. (MTD) generates its revenue through a diversified portfolio of business segments. Currently, the largest contributor to its top-line growth is Laboratory, accounting for 53.8% of total sales, equivalent to $552.55M. Other significant revenue streams include Industrial and Retail. Understanding this composition is critical for investors evaluating how MTD navigates market cycles within the Office Equipment industry.
Rentabilidad y márgenes de MTD
Evaluating the bottom line, Mettler-Toledo International Inc. maintains a gross margin of 61.40%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at 30.38%, while the net margin is 22.67%. These profitability ratios, combined with a Return on Equity (ROE) of N/A, provide a clear picture of how effectively MTD converts its operational activities into shareholder value.
Comparativa sectorial de MTD
In the context of the broader market, MTD competes directly with industry leaders such as ALC and WST. With a market capitalization of $28.20B, it holds a significant position in the sector. When comparing efficiency, MTD's gross margin of 61.40% stands against ALC's 60.50% and WST's 37.74%. Such benchmarking helps identify whether Mettler-Toledo International Inc. is trading at a premium or discount relative to its financial performance.
Desempeño financiero de Mettler-toledo International Inc
Mettler-Toledo has demonstrated strong financial performance with a trailing twelve-month revenue of $4.1 billion and a net income of $905.6 million. The latest quarter saw a gross profit margin of 61.40%, reflecting effective cost management and pricing strategies. Adjusted earnings per share for the full year are projected to be between $47.15 and $47.50, indicating a year-over-year increase of 11% to 12%.
Financials
Esta página es solo para investigación y no constituye asesoramiento de inversión. Los modelos pueden equivocarse. El rendimiento pasado no garantiza resultados futuros.