M1 Profile

1.13
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M1 Summary

M1 Limited (MBOFF) is traded on OTC Market in USA. It is located in 10 International Business Park and employs 1,509 people. The company currently falls under 'Mid-Cap' category with current market capitalization of 1.1 B. M1 Limited has 930.12 M outstanding shares. M1 LTD has accumulated about 58.11 M in cash with 189.24 M of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 0.06.
Check M1 Probability Of Bankruptcy

Target Price Odds Analysis

Odds Below 1.13HorizonTargetOdds Above 1.13
27.28%30 days 1.13 72.52%
Based on normal probability distribution, the odds of M1 to move above current price in 30 days from now is about 72.52% (This M1 Limited probability density function shows the probability of M1 Stock to fall within a particular range of prices over 30 days) .

M1 Limited Risk Profiles

Key Fundamentals

M1 Against Markets

Current Ratings

M1 30 Days Performance Scores
Risk Adjusted
Performance Score (0 to 100)
0 
Chance of
Financial Distress (0 to 100%)
64 
Equity ratings for M1 Limited are calculated dynamically based on Macroaxis scoring framework. Click here to learn more
M1 Limited, together with its subsidiaries, provides mobile and fixed communications services to consumers and corporate customers in Singapore. M1 Limited was founded in 1994 and is headquartered in Singapore. M1 operates under Telecom Services classification in USA and traded on OTC Market. It employs 1509 people. more
NameM1 Limited
CEO and Executive DirectorLee KooiView All
Macroaxis Advice
InstrumentUSA Stock View All
Business Address10 International Business Park
ExchangeOTC Market
SectorCommunication Services
BenchmarkDOW
Websitewww.m1.com.sg
Phone65 6655 1111
CurrencyUSD - US Dollar

M1 Corporate Directors

Ann Koh Director - Procurement & Facilities
Kok Chow Independent Non-Executive Director, MBA
Willis Sim Director, Product Development and Enterprise Services
Please see also Stocks Correlation. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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