Mfs Modity Strategy Fund Price To Book
MCSRX Fund | USD 3.63 0.01 0.28% |
Mfs Modity Strategy fundamentals help investors to digest information that contributes to Mfs Commodity's financial success or failures. It also enables traders to predict the movement of Mfs Mutual Fund. The fundamental analysis module provides a way to measure Mfs Commodity's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Mfs Commodity mutual fund.
Mfs |
Mfs Modity Strategy Mutual Fund Price To Book Analysis
Mfs Commodity's Price to Book (P/B) ratio is used to relate a company book value to its current market price. A high P/B ratio indicates that investors expect executives to generate more returns on their investments from a given set of assets. Book value is the accounting value of assets minus liabilities.
Price to Book ratio is mostly used in financial services industries where assets and liabilities are typically represented by dollars. Although low Price to Book ratio generally implies that the firm is undervalued, it is often a good indicator that the company may be in financial or managerial distress and should be investigated more carefully.
Competition |
Based on the latest financial disclosure, Mfs Modity Strategy has a Price To Book of 0.0 times. This indicator is about the same for the MFS average (which is currently at 0.0) family and about the same as Commodities Broad Basket (which currently averages 0.0) category. This indicator is about the same for all United States funds average (which is currently at 0.0).
Did you try this?
Run Portfolio File Import Now
Portfolio File ImportQuickly import all of your third-party portfolios from your local drive in csv format |
All Next | Launch Module |
Mfs Fundamentals
Total Asset | 724.55 M | ||||
Annual Yield | 0.01 % | ||||
Year To Date Return | 4.89 % | ||||
One Year Return | 2.85 % | ||||
Three Year Return | 2.87 % | ||||
Five Year Return | 7.97 % | ||||
Net Asset | 625.72 M | ||||
Last Dividend Paid | 0.05 | ||||
Cash Position Weight | (102.84) % | ||||
Bond Positions Weight | 17.17 % |
About Mfs Commodity Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Mfs Modity Strategy's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Mfs Commodity using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Mfs Modity Strategy based on its fundamental data. In general, a quantitative approach, as applied to this mutual fund, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Mfs Mutual Fund
Mfs Commodity financial ratios help investors to determine whether Mfs Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Mfs with respect to the benefits of owning Mfs Commodity security.
Financial Widgets Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |