Moshi Moshi Retail Corporation Public Company Limited
THAMSE:MOSHI-F Stock Report
Market Cap: ฿15.6b
Moshi Moshi Retail Corporation Valuation
Is MOSHI-F undervalued compared to its fair value, analyst forecasts and its price relative to the market?
Valuation Score
0/6
Valuation Score 0/6
Below Fair Value
Significantly Below Fair Value
Price-To-Book vs Peers
Price-To-Book vs Industry
Price-To-Book vs Fair Ratio
Analyst Forecast
Share Price vs Fair Value
What is the Fair Price of MOSHI-F when looking at its future cash flows? For this estimate we use a Discounted Cash Flow model.
Below Fair Value: MOSHI-F (THB36) is trading above our estimate of fair value (THB29.42)
Significantly Below Fair Value: MOSHI-F is trading above our estimate of fair value.
Key Valuation Metric
Which metric is best to use when looking at relative valuation for MOSHI-F?
Key metric: As MOSHI-F is unprofitable and pre-revenue we use its Price-To-Book Ratio for relative valuation analysis.
The above table shows the Price to Book ratio for MOSHI-F. This is calculated by dividing MOSHI-F's market cap by their current
book value.
What is MOSHI-F's PB Ratio?
PB Ratio
n/a
Book
฿0
Market Cap
฿15.60b
MOSHI-F key valuation metrics and ratios. From Price to Earnings, Price to Sales and Price to Book to Price to Earnings Growth Ratio, Enterprise Value and EBITDA.
Price-To-Book vs Industry: Insufficient data to calculate MOSHI-F's Price-To-Book Ratio vs. industry for valuation analysis.
Price to Book Ratio vs Fair Ratio
What is MOSHI-F's PB Ratio
compared to its
Fair PB Ratio?
This is the expected PB Ratio taking into
account the company's forecast earnings growth, profit margins
and other risk factors.
MOSHI-F PB Ratio vs Fair Ratio.
Fair Ratio
Current PB Ratio
n/a
Fair PB Ratio
n/a
Price-To-Book vs Fair Ratio: Insufficient data to calculate MOSHI-F's Price-To-Book Fair Ratio for valuation analysis.
Analyst Price Targets
What is the analyst 12-month forecast and do we have any statistical confidence in the consensus price target?
Analyst Forecast: Insufficient data to show price forecast.