$0.166
-0.000 (-0.24%)Al cierre
- Máximo
- 0.167
- Apertura
- 0.162
- Precio medio ponderado por volumen
- 0.16
- Volumen
- 1.02M
- Capitalización
- —
- Mínimo
- 0.152
- Importe
- 165.39K
- EV/EBITDA, TTM
- 0.00
Stratum Holdings Corp., formerly La Rosa Holdings Corp, is an artificial intelligence (AI) infrastructure company focused on Graphics Processing Unit (GPU) leasing and high-performance compute capacity. The Company also operates its residential and commercial real estate brokerage, franchising, education and coaching, and property management businesses.
Análisis de IA of Stratum Holdings Corp. (SRTM)
VenderStratum Holdings Corp. is not a good buy right now due to its significant financial losses and poor performance metrics. The current price is 0.17, which is 78.03% lower year-to-date and only 2.4% of its 52-week range. The forward P/E ratio is 0, indicating no expected earnings growth, and the gross margin is low at 11.50%. The main risk is the company's high debt levels, with a debt-to-equity ratio of 4805.70% in the last quarter, suggesting severe financial instability.
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Cronología de eventos
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Preguntas frecuentes sobre SRTM, respondidas por Alphio AI
Stratum Holdings Corp., formerly La Rosa Holdings Corp, is an artificial intelligence (AI) infrastructure company focused on Graphics Processing Unit (GPU) leasing and high-performance compute capacity. The Company also operates its residential and commercial real estate brokerage, franchising, education and coaching, and property management businesses.
Stratum Holdings Corp. is not a good buy right now due to its significant financial losses and poor performance metrics. The current price is 0.17, which is 78.03% lower year-to-date and only 2.4% of its 52-week range. The forward P/E ratio is 0, indicating no expected earnings growth, and the gross margin is low at 11.50%. The main risk is the company's high debt levels, with a debt-to-equity ratio of 4805.70% in the last quarter, suggesting severe financial instability.
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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.
