NTT DOCOMO INC

NTT DOCOMO INC (DCM) Stock Analysis

$2.970

-0.143 (-4.81%)At close

Loading chart…
High
3.218
Open
2.990
VWAP
3.01
Volume
13.06K
Mkt Cap
—
Low
2.851
Amount
39.36K
EV/EBITDA, TTM
0.00

Universal Safety Products, Inc. is a distributor of safety and security devices. The Company intends to import and market its product lines other than smoke alarms and carbon monoxide alarms. The Company is exploring other business opportunities.

AI analysis of NTT DOCOMO INC (DCM)

Sell

DeFi Capital Markets, Inc. (DCM) is not a good buy right now due to its significant financial instability and poor performance metrics. The stock is currently priced at 2.97, down 43.86% year-to-date, indicating a substantial decline. Additionally, the company's gross margin has been negative at -1228.43% in Q3 2026, which highlights severe profitability issues. The main risk is the negative earnings per share (EPS) of -0.99 in Q3 2026, suggesting ongoing losses.

Valuation Metrics

The current forward P/E ratio for NTT DOCOMO INC (DCM) is 0.00, compared to its 5-year average forward P/E of .

Forward P/E

5Y Average P/E
Current P/E
0.00

Forward EV/EBITDA

5Y Average EV/EBITDA
Current EV/EBITDA
0.00

Forward P/S

5Y Average P/S
Current P/S
0.00

DCM FAQ — answered by Alphio AI

Universal Safety Products, Inc. is a distributor of safety and security devices. The Company intends to import and market its product lines other than smoke alarms and carbon monoxide alarms. The Company is exploring other business opportunities.

DeFi Capital Markets, Inc. (DCM) is not a good buy right now due to its significant financial instability and poor performance metrics. The stock is currently priced at 2.97, down 43.86% year-to-date, indicating a substantial decline. Additionally, the company's gross margin has been negative at -1228.43% in Q3 2026, which highlights severe profitability issues. The main risk is the negative earnings per share (EPS) of -0.99 in Q3 2026, suggesting ongoing losses.

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This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.

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