Mountain Price To Sales Ratio vs Book Value Per Share Analysis
MPVD Stock | CAD 0.11 0.01 10.00% |
Mountain Province financial indicator trend analysis is infinitely more than just investigating Mountain Province recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Mountain Province is a good investment. Please check the relationship between Mountain Province Price To Sales Ratio and its Book Value Per Share accounts. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Mountain Province Diamonds. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Price To Sales Ratio vs Book Value Per Share
Price To Sales Ratio vs Book Value Per Share Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Mountain Province Price To Sales Ratio account and Book Value Per Share. At this time, the significance of the direction appears to have significant contrarian relationship.
The correlation between Mountain Province's Price To Sales Ratio and Book Value Per Share is -0.47. Overlapping area represents the amount of variation of Price To Sales Ratio that can explain the historical movement of Book Value Per Share in the same time period over historical financial statements of Mountain Province Diamonds, assuming nothing else is changed. The correlation between historical values of Mountain Province's Price To Sales Ratio and Book Value Per Share is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Price To Sales Ratio of Mountain Province Diamonds are associated (or correlated) with its Book Value Per Share. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Book Value Per Share has no effect on the direction of Price To Sales Ratio i.e., Mountain Province's Price To Sales Ratio and Book Value Per Share go up and down completely randomly.
Correlation Coefficient | -0.47 |
Relationship Direction | Negative |
Relationship Strength | Very Weak |
Price To Sales Ratio
Price to Sales Ratio is figured by comparing Mountain Province stock price to its revenues. An advantage to using Price to Sales ratio is that it is based on Mountain Province sales, a figure that is much harder to manipulate than other Mountain Province Diamonds multiples. Because sales tend to be more stable P/S ratio can be a good tool for screening cyclical companies fluctuating earnings patterns. A valuation ratio that compares a company's stock price to its revenues, calculated by dividing the company's market cap by its total sales or revenue over a 12-month period.Book Value Per Share
The ratio of equity available to common shareholders divided by the number of outstanding shares. This measure represents the value per share of a company according to its financial statements.Most indicators from Mountain Province's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Mountain Province current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Mountain Province Diamonds. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. At this time, Mountain Province's Selling General Administrative is very stable compared to the past year. As of the 29th of December 2024, Tax Provision is likely to grow to about 25.6 M, while Enterprise Value is likely to drop about 263.6 M.
2021 | 2022 | 2023 | 2024 (projected) | Total Operating Expenses | 20.1M | 31.4M | 196.0M | 205.8M | Other Operating Expenses | 215.1M | 249.7M | 351.7M | 369.3M |
Mountain Province fundamental ratios Correlations
Click cells to compare fundamentals
Mountain Province Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Mountain Province fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Common Stock Shares Outstanding | 210.1M | 210.4M | 212.0M | 212.7M | 211.5M | 108.3M | |
Total Assets | 822.7M | 595.3M | 877.5M | 898.5M | 932.2M | 978.8M | |
Other Current Liab | 2.4M | 2.5M | 721K | 7.2M | 5.2M | 3.2M | |
Total Current Liabilities | 50.6M | 75.7M | 413.3M | 52.2M | 62.8M | 34.5M | |
Total Stockholder Equity | 336.1M | 73.7M | 350.7M | 407.2M | 361.0M | 379.1M | |
Property Plant And Equipment Net | 672.3M | 451.4M | 714.5M | 686.1M | 590.8M | 620.4M | |
Net Debt | 346.0M | 372.5M | 351.0M | 300.2M | 277.2M | 291.1M | |
Retained Earnings | (302.5M) | (566.0M) | (289.8M) | (240.6M) | (284.3M) | (270.0M) | |
Accounts Payable | 47.3M | 41.0M | 36.9M | 43.6M | 56.8M | 59.6M | |
Cash | 34.8M | 35.2M | 25M | 17.2M | 29.7M | 31.2M | |
Non Current Assets Total | 672.7M | 466.8M | 739.9M | 717.0M | 623.5M | 654.6M | |
Non Currrent Assets Other | 450K | 15.4M | 25.4M | 31.0M | 32.6M | 32.1M | |
Cash And Short Term Investments | 34.8M | 35.2M | 25M | 17.2M | 29.7M | 18.8M | |
Net Receivables | 1.7M | 797K | 877K | 912K | 1.1M | 716.0K | |
Liabilities And Stockholders Equity | 822.7M | 595.3M | 877.5M | 898.5M | 856.9M | 899.7M | |
Non Current Liabilities Total | 436.0M | 445.9M | 113.4M | 439.1M | 508.4M | 533.8M | |
Other Current Assets | 1.8M | 2.0M | 1.9M | 2.9M | 15.4M | 16.2M | |
Total Liab | 486.5M | 521.6M | 526.8M | 491.4M | 571.2M | 599.8M | |
Property Plant And Equipment Gross | 672.3M | 451.4M | 1.1B | 1.2B | 1.4B | 1.4B | |
Total Current Assets | 150.0M | 128.5M | 137.6M | 181.5M | 233.4M | 245.1M | |
Short Term Debt | 811K | 32.2M | 375.7M | 317K | 174K | 165.3K | |
Other Assets | 450K | 15.4M | 25.4M | (1K) | 75.4M | 79.1M | |
Common Stock | 631.2M | 631.5M | 631.7M | 637.9M | 634.1M | 518.8M | |
Common Stock Total Equity | 475.6M | 629.8M | 631.2M | 631.5M | 726.2M | 498.8M | |
Other Liab | 56.1M | 70.4M | 113.1M | 122.1M | 140.4M | 147.4M | |
Net Tangible Assets | 336.1M | 73.7M | 350.7M | 407.2M | 468.2M | 322.9M | |
Inventory | 111.8M | 90.5M | 109.8M | 160.8M | 187.2M | 104.7M | |
Property Plant Equipment | 672.3M | 451.4M | 714.5M | 686.1M | 789.0M | 598.6M | |
Short Long Term Debt Total | 380.7M | 407.7M | 376.0M | 317.4M | 306.9M | 288.1M | |
Long Term Debt | 378.9M | 374.7M | 0.0 | 317.0M | 285.3M | 247.3M | |
Long Term Debt Total | 379.9M | 375.5M | 336K | 317.1M | 285.4M | 247.6M | |
Net Invested Capital | 715.0M | 480.2M | 726.3M | 724.1M | 651.7M | 566.5M | |
Net Working Capital | 99.4M | 52.8M | (275.7M) | 129.3M | 116.3M | 122.2M |
Pair Trading with Mountain Province
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Mountain Province position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Mountain Province will appreciate offsetting losses from the drop in the long position's value.Moving together with Mountain Stock
Moving against Mountain Stock
0.81 | FFH | Fairfax Financial | PairCorr |
0.81 | FFH-PC | Fairfax Fin Hld | PairCorr |
0.81 | RY-PM | Royal Bank | PairCorr |
0.78 | HUT | Hut 8 Mining | PairCorr |
0.77 | DBO | D Box Technologies | PairCorr |
The ability to find closely correlated positions to Mountain Province could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Mountain Province when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Mountain Province - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Mountain Province Diamonds to buy it.
The correlation of Mountain Province is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Mountain Province moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mountain Province moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Mountain Province can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Mountain Stock
Balance Sheet is a snapshot of the financial position of Mountain Province at a specified time, usually calculated after every quarter, six months, or one year. Mountain Province Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of Mountain Province and are divided into current liabilities and long term liabilities. An asset, on the other hand, is anything of value that can be converted into cash and which Mountain currently owns. An asset can also be divided into two categories, current and non-current.