SS Innovations International Inc

Finanzas de SS Innovations International Inc (SSII)

$2.540

+0.093 (+3.67%)Al cierre

Rentabilidad y márgenes de SSII

Evaluating the bottom line, SS Innovations International, Inc. maintains a gross margin of 48.46%. This metric reflects the company's pricing power and manufacturing efficiency. Further down the income statement, the operating margin stands at -16.29%, while the net margin is -19.09%. These profitability ratios, combined with a Return on Equity (ROE) of -26.06%, provide a clear picture of how effectively SSII converts its operational activities into shareholder value.

Comparativa sectorial de SSII

In the context of the broader market, SSII competes directly with industry leaders such as TCMD and DCTH. With a market capitalization of $507.24M, it holds a significant position in the sector. When comparing efficiency, SSII's gross margin of 48.46% stands against TCMD's 75.50% and DCTH's 89.75%. Such benchmarking helps identify whether SS Innovations International, Inc. is trading at a premium or discount relative to its financial performance.

Desempeño financiero de SS Innovations International Inc

SS Innovations has shown fluctuating revenue growth, with total revenue reaching 13,939,709 USD in Q2 2026, but has consistently reported negative net income, including -2,661,350 USD in the same quarter. The gross margin has varied, with a recent gross margin of 48.46%, indicating some operational efficiency. However, the company has a high price-to-sales ratio of 9.87, suggesting it may be overvalued relative to its sales.

Financials

FY2026Q2
YoY:
+39.39%
13.94M
Total Revenue
FY2026Q2
YoY:
-2441.26%
-2.27M
Operating Profit
FY2026Q2
YoY:
+936.79%
-2.66M
Net Income after Tax
FY2026Q2
-0.01
EPS - Diluted
FY2026Q2
YoY:
+16.62%
-4.39M
Free Cash Flow
FY2026Q2
YoY:
-14.31%
48.46
Gross Profit Margin - %
FY2026Q2
YoY:
-51.55%
-34.76
FCF Margin - %
FY2026Q2
YoY:
+642.80%
-19.09
Net Margin - %

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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