T Mobile Stock Piotroski F Score

0R2L Stock   243.64  3.54  1.47%   
This module uses fundamental data of T Mobile to approximate its Piotroski F score. T Mobile F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of T Mobile. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about T Mobile financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in T Mobile. 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.
For more information on how to buy 0R2L Stock please use our How to Invest in T Mobile guide.
  
At this time, T Mobile's Net Debt is comparatively stable compared to the past year. Short and Long Term Debt Total is likely to gain to about 118.7 B in 2024, whereas Long Term Debt is likely to drop slightly above 49.3 B in 2024.
At this time, it appears that T Mobile's Piotroski F Score is Inapplicable. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
3.0
Piotroski F Score - Inapplicable
Current Return On Assets

N/A

Focus
Change in Return on Assets

N/A

Focus
Cash Flow Return on Assets

Positive

Focus
Current Quality of Earnings (accrual)

Improving

Focus
Asset Turnover Growth

N/A

Focus
Current Ratio Change

N/A

Focus
Long Term Debt Over Assets Change

Lower Leverage

Focus
Change In Outstending Shares

Increase

Focus
Change in Gross Margin

N/A

Focus

T Mobile Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to T Mobile is to make sure 0R2L is not a subject of accounting manipulations and runs a healthy internal audit department. So, if T Mobile'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. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if T Mobile's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Total Current Liabilities22 B20.9 B
Sufficiently Up
Slightly volatile
Non Current Liabilities Total128.1 B122 B
Sufficiently Up
Slightly volatile
Total Assets218.1 B207.7 B
Sufficiently Up
Slightly volatile
Total Current Assets20 B19 B
Sufficiently Up
Slightly volatile

T Mobile F 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 project the various growth rates. Understanding the correlation between T Mobile's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards T Mobile in a much-optimized way.

About T Mobile Piotroski F Score

F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.

Net Debt

113.35 Billion

At this time, T Mobile's Net Debt is comparatively stable compared to the past year.

About T Mobile Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze T Mobile's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of T Mobile using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of T Mobile 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.

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Additional Tools for 0R2L Stock Analysis

When running T Mobile's price analysis, check to measure T Mobile'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 T Mobile is operating at the current time. Most of T Mobile's value examination focuses on studying past and present price action to predict the probability of T Mobile's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move T Mobile's price. Additionally, you may evaluate how the addition of T Mobile to your portfolios can decrease your overall portfolio volatility.