Network 1 Technologies Stock Beneish M Score

NTIP Stock  USD 1.75  0.05  2.78%   
This module uses fundamental data of Network 1 to approximate the value of its Beneish M Score. Network 1 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 Network 1 Piotroski F Score and Network 1 Altman Z Score analysis.
  
At this time, Network 1's Net Debt To EBITDA is relatively stable compared to the past year. As of 06/05/2024, Cash Flow To Debt Ratio is likely to grow to 15.11, while Short and Long Term Debt Total is likely to drop slightly above 21.9 K. At this time, Network 1's Free Cash Flow Per Share is relatively stable compared to the past year. As of 06/05/2024, Days Of Inventory On Hand is likely to grow to 1,552, while Invested Capital is likely to drop 0.0004.
At this time, it appears that Network 1 Technologies is an unlikely manipulator. The earnings manipulation may begin if Network 1'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 Network 1 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 Network 1'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.
-3.97
Beneish M Score - Unlikely Manipulator
Elasticity of Receivables

1.11

Focus
Asset Quality

-0.8

Focus
Expense Coverage

1.16

Focus
Gross Margin Strengs

0.88

Focus
Accruals Factor

1.16

Focus
Depreciation Resistance

1.02

Focus
Net Sales Growth

0.95

Focus
Financial Leverage Condition

1.98

Focus

Network 1 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 Network 1'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 Receivables7.5 M7.1 M
Sufficiently Up
Slightly volatile
Total Revenue2.5 M2.6 M
Notably Down
Very volatile
Total Assets27.8 M52.3 M
Way Down
Slightly volatile
Total Current Assets24.2 M45.7 M
Way Down
Slightly volatile
Non Current Assets Total3.6 M6.6 M
Way Down
Very volatile
Selling General Administrative4.1 M3.7 M
Significantly Up
Pretty Stable
Total Current Liabilities781.9 K823 K
Notably Down
Very volatile
Non Current Liabilities Total1.4 M762 K
Way Up
Very volatile
Short Term Debt21.9 K23 K
Notably Down
Slightly volatile
Short Term Investments30 M28.6 M
Sufficiently Up
Slightly volatile
Long Term Investments4.3 M5.2 M
Significantly Down
Slightly volatile
Gross Profit Margin0.420.48
Fairly Down
Slightly volatile

Network 1 Technologies 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 Network 1's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Network 1 in a much-optimized way. Analyzing correlations between earnings drivers directly associated with dollar figures is the most effective way to find Network 1's degree of accounting gimmicks and manipulations.

About Network 1 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

447,065

At this time, Network 1's Depreciation And Amortization is relatively stable compared to the past year.

Network 1 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 Network 1. 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 Receivables575K444K343K6.2M7.1M7.5M
Total Revenue3.0M4.4M36.0M337K2.6M2.5M
Total Assets55.1M51.2M64.8M58.0M52.3M27.8M
Total Current Assets48.8M45.0M59.8M49.0M45.7M24.2M
Net Debt(22.5M)(25.5M)(44.5M)(13.3M)(16.9M)(17.7M)
Operating Income(2.4M)(2.4M)19.6M(3.9M)(2.2M)(2.1M)
Investments(28.2M)6.4M3.0M(22.3M)4.3M4.5M

About Network 1 Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Network 1 Technologies's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Network 1 using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Network 1 Technologies 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect

Additional Tools for Network Stock Analysis

When running Network 1's price analysis, check to measure Network 1's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Network 1 is operating at the current time. Most of Network 1's value examination focuses on studying past and present price action to predict the probability of Network 1's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Network 1's price. Additionally, you may evaluate how the addition of Network 1 to your portfolios can decrease your overall portfolio volatility.