Ingersoll Rand Stock Piotroski F Score

IR Stock  USD 80.96  0.71  0.87%   
This module uses fundamental data of Ingersoll Rand to approximate its Piotroski F score. Ingersoll Rand F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Ingersoll Rand. 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 Ingersoll Rand financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Ingersoll Rand Altman Z Score, Ingersoll Rand Correlation, Ingersoll Rand Valuation, as well as analyze Ingersoll Rand Alpha and Beta and Ingersoll Rand Hype Analysis.
To learn how to invest in Ingersoll Stock, please use our How to Invest in Ingersoll Rand guide.
  
At this time, Ingersoll Rand's Long Term Debt To Capitalization is relatively stable compared to the past year. As of 03/22/2025, Cash Flow To Debt Ratio is likely to grow to 473.08, while Long Term Debt is likely to drop slightly above 3.2 B. At this time, Ingersoll Rand's Capex To Revenue is relatively stable compared to the past year. As of 03/22/2025, Interest Coverage is likely to grow to 6.40, while Book Value Per Share is likely to drop 14.20.
At this time, it appears that Ingersoll Rand's Piotroski F Score is Healthy. 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..
6.0
Piotroski F Score - Healthy
Current Return On Assets

Positive

Focus
Change in Return on Assets

Increased

Focus
Cash Flow Return on Assets

Positive

Focus
Current Quality of Earnings (accrual)

Decreasing

Focus
Asset Turnover Growth

Increase

Focus
Current Ratio Change

Decrease

Focus
Long Term Debt Over Assets Change

Lower Leverage

Focus
Change In Outstending Shares

Decrease

Focus
Change in Gross Margin

No Change

Focus

Ingersoll Rand Piotroski F Score Drivers

The critical factor to consider when applying the Piotroski F Score to Ingersoll Rand is to make sure Ingersoll is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Ingersoll Rand'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 Ingersoll Rand's financial numbers are properly reported.
Current ValueLast YearChange From Last Year 10 Year Trend
Asset Turnover0.540.4017
Significantly Up
Slightly volatile
Gross Profit Margin0.30.4381
Way Down
Slightly volatile
Total Current LiabilitiesB1.8 B
Moderately Up
Slightly volatile
Non Current Liabilities Total3.8 B5.9 B
Way Down
Slightly volatile
Total Assets10 B18 B
Way Down
Pretty Stable
Total Current Assets2.7 B4.2 B
Way Down
Very volatile
Total Cash From Operating Activities783 M1.4 B
Way Down
Slightly volatile

Ingersoll Rand 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 Ingersoll Rand's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Ingersoll Rand in a much-optimized way.

About Ingersoll Rand 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.

Pretax Profit Margin

0.16

At this time, Ingersoll Rand's Pretax Profit Margin is relatively stable compared to the past year.

Ingersoll Rand ESG Sustainability

Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Ingersoll Rand's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Ingersoll Rand's managers, analysts, and investors.
Environmental
Governance
Social

About Ingersoll Rand Fundamental Analysis

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

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 Ingersoll Rand 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 Ingersoll Rand will appreciate offsetting losses from the drop in the long position's value.

Moving together with Ingersoll Stock

  0.85BW Babcock Wilcox EnterPairCorr
  0.67HI HillenbrandPairCorr

Moving against Ingersoll Stock

  0.85CYD China Yuchai InternaPairCorr
The ability to find closely correlated positions to Ingersoll Rand could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ingersoll Rand 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 Ingersoll Rand - 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 Ingersoll Rand to buy it.
The correlation of Ingersoll Rand 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 Ingersoll Rand moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ingersoll Rand 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 Ingersoll Rand 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

Additional Tools for Ingersoll Stock Analysis

When running Ingersoll Rand's price analysis, check to measure Ingersoll Rand'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 Ingersoll Rand is operating at the current time. Most of Ingersoll Rand's value examination focuses on studying past and present price action to predict the probability of Ingersoll Rand's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ingersoll Rand's price. Additionally, you may evaluate how the addition of Ingersoll Rand to your portfolios can decrease your overall portfolio volatility.