Ag Growth International Stock Beneish M Score

AFN Stock  CAD 51.98  1.43  2.68%   
This module uses fundamental data of Ag Growth to approximate the value of its Beneish M Score. Ag Growth M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Ag Growth International. 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, Ag Growth's Interest Debt Per Share is very stable compared to the past year. As of the 26th of November 2024, Debt Equity Ratio is likely to grow to 2.86, while Long Term Debt is likely to drop about 586.2 M. At this time, Ag Growth's Days Of Inventory On Hand is very stable compared to the past year. As of the 26th of November 2024, Research And Ddevelopement To Revenue is likely to grow to 0.01, while Price To Sales Ratio is likely to drop 0.59.
At this time, Ag Growth's M Score is inapplicable. The earnings manipulation may begin if Ag Growth's top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by Ag Growth executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of Ag Growth's earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-2.86
Beneish M Score - Inapplicable
Elasticity of Receivables

1.0

Focus
Asset Quality

-0.36

Focus
Expense Coverage

1.0

Focus
Gross Margin Strengs

1.15

Focus
Accruals Factor

1.0

Focus
Depreciation Resistance

0.71

Focus
Net Sales Growth

1.05

Focus
Financial Leverage Condition

2.09

Focus

Ag Growth Beneish M-Score Indicator Trends

The cure to earnings manipulation is the transparency of financial reporting. It will typically remove the temptation of the top executives to inflate earnings (i.e., to promote the idea of 'winning at any cost'). Because a healthy internal audit department can enhance transparency, the board should promote the auditors' access to all the record-keeping systems across the enterprise. For example, if Ag Growth's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back.
Current ValueLast YearChange From Last Year 10 Year Trend
Net Receivables296.7 M282.6 M
Sufficiently Up
Slightly volatile
Total Revenue1.6 B1.5 B
Sufficiently Up
Slightly volatile
Total Assets833.2 M1.7 B
Way Down
Slightly volatile
Total Current Assets695.4 M662.2 M
Sufficiently Up
Slightly volatile
Non Current Assets Total543.8 M992.7 M
Way Down
Slightly volatile
Property Plant Equipment294.6 M422.9 M
Way Down
Slightly volatile
Depreciation And Amortization68.6 M65.3 M
Sufficiently Up
Slightly volatile
Selling General Administrative296.7 M282.6 M
Sufficiently Up
Slightly volatile
Total Current Liabilities575.4 M548 M
Sufficiently Up
Slightly volatile
Non Current Liabilities Total407 M789 M
Way Down
Slightly volatile
Net Debt857.1 M816.3 M
Sufficiently Up
Slightly volatile
Short Term Debt187.4 M178.5 M
Sufficiently Up
Slightly volatile
Long Term Debt586.2 M693.5 M
Fairly Down
Slightly volatile
Total Cash From Operating Activities110.5 M105.2 M
Sufficiently Up
Slightly volatile
Gross Profit Margin0.360.3138
Fairly Up
Slightly volatile

Ag Growth International Beneish M-Score Driver Matrix

One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to detect the potential manipulation of earnings. Understanding the correlation between Ag Growth's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Ag Growth in a much-optimized way. Analyzing correlations between earnings drivers directly associated with dollar figures is the most effective way to find Ag Growth's degree of accounting gimmicks and manipulations.

About Ag Growth Beneish M Score

M-Score is one of many grading techniques for value stocks. It was developed by Professor M. Daniel Beneish of the Kelley School of Business at Indiana University and published in 1999 under the paper titled The Detection of Earnings Manipulation. The Beneish score is a multi-factor model that utilizes financial identifiers to compile eight variables used to classify whether a company has manipulated its reported earnings. The variables are built from the officially filed financial statements to create a final score call 'M Score.' The score helps to identify companies that are likely to manipulate their profits if they show deteriorating gross margins, operating expenses, and leverage against growing revenue.

Depreciation And Amortization

68.58 Million

At this time, Ag Growth's Depreciation And Amortization is very stable compared to the past year.

Ag Growth Earnings Manipulation Drivers

Although earnings manipulation is typically not the result of intentional misconduct by the c-level executives, it is still a widespread practice by the senior management of public companies such as Ag Growth. It is usually done by a series of misrepresentations of various accounting rules and operating activities across multiple financial cycles. The best way to spot the manipulation is to examine the historical financial statement to find inconsistencies in earning reports to find trends in assets or liabilities that are not sustainable in the future.
201920202021202220232024 (projected)
Net Receivables170.1M188.7M221.1M240.6M282.6M296.7M
Total Revenue995.8M994.0M1.2B1.5B1.5B1.6B
Total Assets1.5B1.5B1.6B1.6B1.7B833.2M
Total Current Assets439.5M476.7M572.8M655.1M662.2M695.4M
Net Debt758.4M780.2M825.9M856.7M816.3M857.1M
Short Term Debt77.6M3.5M90.5M6.1M178.5M187.4M
Long Term Debt748.8M825.3M779.5M876.7M693.5M586.2M
Operating Income71.7M(2.8M)73.9M131.5M179.6M188.6M
Investments(223.1M)(62.7M)(75.3M)(85.8M)(43.1M)(45.3M)

About Ag Growth Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Ag Growth International's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Ag Growth using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Ag Growth International based on its fundamental data. In general, a quantitative approach, as applied to this company, 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.

Pair Trading with Ag Growth

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 Ag Growth 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 Ag Growth will appreciate offsetting losses from the drop in the long position's value.

Moving against AFN Stock

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The ability to find closely correlated positions to Ag Growth could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ag Growth 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 Ag Growth - 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 Ag Growth International to buy it.
The correlation of Ag Growth 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 Ag Growth moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ag Growth International 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 Ag Growth 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in AFN Stock

Ag Growth financial ratios help investors to determine whether AFN Stock 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 AFN with respect to the benefits of owning Ag Growth security.