The Altman Z-Score is one of the most widely-used financial formulas to predict bankruptcy risk. Developed by Edward Altman in 1968, this model combines five key financial ratios to generate a single score that indicates the likelihood of financial distress within two years.
How to Interpret Information Services Z-Score
Z-Score above 3.0: Safe zone - Low bankruptcy risk Z-Score 2.7 - 3.0: Gray zone - Moderate risk Z-Score 1.8 - 2.7: Warning zone - Elevated risk Z-Score below 1.8: Distress zone - High bankruptcy risk
Why Information Services Z-Score Matters
Investors use the Z-Score to assess financial health before making investment decisions. A declining Z-Score over time may signal deteriorating fundamentals, while an improving score suggests strengthening financial position. The model evaluates five critical metrics: working capital to assets, retained earnings to assets, EBIT to assets, market value of equity to total liabilities, and sales to assets.
Information Services Z-Score Analysis
The module uses available fundamental data of Information Services to calculate the Altman Z score based on five fundamental metrics from the company's most recent public disclosure documents. Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Information Services. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in state.
Understanding the fundamental principles of building solid financial models for Information Services is extremely important. It helps to project a fair market value of Information Stock properly, considering its historical fundamentals such as Z Score. Since Information Services' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Information Services' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Information Services' interrelated accounts and indicators.
Please note, there is a significant difference between Information Services' value and its price as these two are different measures arrived at by different means. Investors typically determine if Information Services is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, Information Services' trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Information Services 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Information Services' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Information Services.
0.00
11/08/2025
No Change 0.00
0.0
In 3 months and 1 day
02/06/2026
0.00
If you would invest 0.00 in Information Services on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding Information Services or generate 0.0% return on investment in Information Services over 90 days. Information Services is entity of Canada More
Information Services Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Information Services' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Information Services upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Information Services' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Information Services' standard deviation. In reality, there are many statistical measures that can use Information Services historical prices to predict the future Information Services' volatility.
Information Services appears to be very steady, given 3 months investment horizon. Information Services holds Efficiency (Sharpe) Ratio of 0.0973, which attests that the entity had a 0.0973 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Information Services, which you can use to evaluate the volatility of the firm. Please utilize Information Services' Market Risk Adjusted Performance of 0.901, risk adjusted performance of 0.1043, and Downside Deviation of 1.29 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Information Services holds a performance score of 7. The company retains a Market Volatility (i.e., Beta) of 0.38, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Information Services' returns are expected to increase less than the market. However, during the bear market, the loss of holding Information Services is expected to be smaller as well. Please check Information Services' maximum drawdown, skewness, and the relationship between the total risk alpha and downside variance , to make a quick decision on whether Information Services' current trending patterns will revert.
Auto-correlation
-0.59
Good reverse predictability
Information Services has good reverse predictability. Overlapping area represents the amount of predictability between Information Services time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Information Services price movement. The serial correlation of -0.59 indicates that roughly 59.0% of current Information Services price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.59
Spearman Rank Test
-0.23
Residual Average
0.0
Price Variance
3.03
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
According to the company's disclosures, Information Services has a Z Score of 0.0. This is 100.0% lower than that of the Industrials sector and about the same as Specialty Business Services (which currently averages 0.0) industry. The z score for all Canada stocks is 100.0% higher than that of the company.
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The Macroaxis Fundamental Analysis modules help investors analyze Information Services's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Information Services using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Information Services 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.
Other Information on Investing in Information Stock
Information Services financial ratios help investors to determine whether Information 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 Information with respect to the benefits of owning Information Services security.