Kangda International Environmental Company Limited
BST:27K Stock Report
Market Cap: €79.2m
Kangda International Environmental Valuation
Is 27K undervalued compared to its fair value, analyst forecasts and its price relative to the market?
Valuation Score
4/6
Valuation Score 4/6
Below Fair Value
Significantly Below Fair Value
Price-To-Earnings vs Peers
Price-To-Earnings vs Industry
Price-To-Earnings vs Fair Ratio
Analyst Forecast
Share Price vs Fair Value
What is the Fair Price of 27K when looking at its future cash flows? For this estimate we use a Discounted Cash Flow model.
Below Fair Value: 27K (€0.03) is trading below our estimate of fair value (€0.22)
Significantly Below Fair Value: 27K is trading below fair value by more than 20%.
Key Valuation Metric
Which metric is best to use when looking at relative valuation for 27K?
Key metric: As 27K is profitable we use its Price-To-Earnings Ratio for relative valuation analysis.
The above table shows the Price to Earnings ratio for 27K. This is calculated by dividing 27K's market cap by their current
earnings.
What is 27K's PE Ratio?
PE Ratio
3.9x
Earnings
CN¥151.55m
Market Cap
CN¥597.49m
27K 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-Earnings vs Industry: 27K is good value based on its Price-To-Earnings Ratio (3.9x) compared to the Global Water Utilities industry average (18x).
Price to Earnings Ratio vs Fair Ratio
What is 27K's PE Ratio
compared to its
Fair PE Ratio?
This is the expected PE Ratio taking into
account the company's forecast earnings growth, profit margins
and other risk factors.
27K PE Ratio vs Fair Ratio.
Fair Ratio
Current PE Ratio
3.9x
Fair PE Ratio
n/a
Price-To-Earnings vs Fair Ratio: Insufficient data to calculate 27K's Price-To-Earnings 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.