Mogo Inventory Turnover vs Income Quality Analysis
MOGO Stock | CAD 2.06 0.03 1.48% |
Mogo financial indicator trend analysis is infinitely more than just investigating Mogo Inc recent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Mogo Inc is a good investment. Please check the relationship between Mogo Inventory Turnover and its Income Quality accounts. Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Mogo Inc. 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.
Inventory Turnover vs Income Quality
Inventory Turnover vs Income Quality Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Mogo Inc Inventory Turnover account and Income Quality. At this time, the significance of the direction appears to have fragmental relationship.
The correlation between Mogo's Inventory Turnover and Income Quality is 0.45. Overlapping area represents the amount of variation of Inventory Turnover that can explain the historical movement of Income Quality in the same time period over historical financial statements of Mogo Inc, assuming nothing else is changed. The correlation between historical values of Mogo's Inventory Turnover and Income Quality is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Inventory Turnover of Mogo Inc are associated (or correlated) with its Income Quality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Income Quality has no effect on the direction of Inventory Turnover i.e., Mogo's Inventory Turnover and Income Quality go up and down completely randomly.
Correlation Coefficient | 0.45 |
Relationship Direction | Positive |
Relationship Strength | Weak |
Inventory Turnover
A ratio showing how many times a company's inventory is sold and replaced over a period, indicating the efficiency of inventory management.Income Quality
An assessment of the sustainability of a company's earnings over time, considering factors like revenue source diversification and cost structure.Most indicators from Mogo's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Mogo Inc 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 Mogo Inc. 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. As of the 29th of November 2024, Sales General And Administrative To Revenue is likely to grow to 0.35, while Selling General Administrative is likely to drop about 13.8 M.
2021 | 2022 | 2023 | 2024 (projected) | Gross Profit | 46.0M | 46.2M | 46.3M | 34.1M | Total Revenue | 57.5M | 68.9M | 64.8M | 49.0M |
Mogo fundamental ratios Correlations
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Mogo Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Mogo fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 151.1M | 104.5M | 393.9M | 221.5M | 207.8M | 149.1M | |
Total Current Liabilities | 87.7M | 45.5M | 65.8M | 67.2M | 73.5M | 55.3M | |
Total Stockholder Equity | (92.7M) | 5.2M | 269.8M | 110.9M | 93.7M | 98.4M | |
Property Plant And Equipment Net | 6.6M | 4.8M | 4.6M | 3.7M | 1.2M | 1.1M | |
Net Debt | (159K) | 79.3M | 19.5M | 58.5M | 72.8M | 51.6M | |
Retained Earnings | (101.6M) | (115.1M) | (148.3M) | (313.9M) | (331.8M) | (315.2M) | |
Cash | 5.4M | 12.1M | 69.2M | 29.3M | 16.1M | 24.7M | |
Non Current Assets Total | 48.8M | 42.1M | 258.5M | 121.4M | 115.1M | 61.6M | |
Non Currrent Assets Other | 137K | 3.0M | 7.9M | 5.2M | (63.5M) | (60.3M) | |
Other Assets | 273K | 137K | 0.0 | 1.6M | 1K | 950.0 | |
Cash And Short Term Investments | 5.4M | 12.1M | 69.2M | 29.3M | 16.1M | 24.7M | |
Common Stock Shares Outstanding | 25.5M | 28.9M | 63.0M | 76.3M | 24.9M | 22.9M | |
Non Current Liabilities Total | 61.6M | 53.7M | 58.3M | 43.4M | 106.8M | 56.4M | |
Total Liab | 149.3M | 99.2M | 124.1M | 110.6M | 114.0M | 108.1M | |
Total Current Assets | 102.3M | 62.3M | 135.3M | 100.1M | 92.7M | 86.6M | |
Intangible Assets | 21.3M | 18.9M | 52.3M | 41.8M | 36.6M | 21.2M | |
Common Stock | 94.5M | 106.7M | 392.6M | 391.2M | 389.8M | 409.3M | |
Short Long Term Debt Total | 214.6M | 129.0M | 133.7M | 133.9M | 88.9M | 117.1M | |
Other Current Liab | 4.1M | 4.6M | 15.8M | 15.3M | 17.6M | 16.2M | |
Net Tangible Assets | (27.4M) | (19.5M) | (13.7M) | 147.4M | 169.5M | 177.9M | |
Accounts Payable | 7.1M | 3.3M | 5.0M | 5.7M | 6.4M | 5.5M | |
Long Term Debt | 132.9M | 87.1M | 39.8M | 38.3M | 36.8M | 57.7M | |
Net Receivables | 88.7M | 47.2M | 61.2M | 66.7M | 1.2M | 1.2M | |
Liabilities And Stockholders Equity | 56.6M | 104.5M | 393.9M | 221.5M | 207.8M | 152.1M | |
Other Current Assets | 3.2M | 3.0M | 4.9M | (36.4M) | 1.7M | 1.8M | |
Other Stockholder Equity | (85.6M) | 13.6M | 24.5M | 33.0M | 35.5M | 37.3M | |
Short Long Term Debt | 76.5M | 37.6M | 45.0M | 46.2M | 49.4M | 44.3M | |
Short Term Debt | 76.5M | 37.6M | 45.0M | 46.2M | 49.4M | 53.0M | |
Property Plant Equipment | 6.6M | 4.8M | 4.6M | 3.7M | 4.3M | 3.9M | |
Common Stock Total Equity | 71.4M | 75.0M | 94.5M | 106.7M | 122.7M | 75.0M | |
Property Plant And Equipment Gross | 6.6M | 4.8M | 9.5M | 9.1M | 1.7M | 1.6M | |
Accumulated Other Comprehensive Income | (6.4M) | (4.4M) | 926K | 559K | 243K | 255.2K | |
Long Term Debt Total | 138.1M | 91.4M | 88.7M | 87.7M | 100.9M | 65.1M | |
Capital Surpluse | 8.9M | 13.6M | 24.5M | 33.0M | 29.7M | 39.6M | |
Cash And Equivalents | 10.4M | 12.1M | 69.2M | 29.3M | 33.7M | 22.2M | |
Net Invested Capital | 134.6M | 92.3M | 354.6M | 195.3M | 179.9M | 188.7M | |
Net Working Capital | 14.6M | 16.9M | 69.6M | 32.9M | 19.2M | 26.2M |
Pair Trading with Mogo
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 Mogo 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 Mogo will appreciate offsetting losses from the drop in the long position's value.Moving against Mogo Stock
The ability to find closely correlated positions to Mogo could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Mogo 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 Mogo - 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 Mogo Inc to buy it.
The correlation of Mogo 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 Mogo moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Mogo Inc 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 Mogo 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.Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Mogo Inc. 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. You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.