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Meta Data (STU:OSM) Altman Z2-Score : -24.29 (As of Sep. 25, 2024)


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What is Meta Data Altman Z2-Score?

Altman Z2-Score, also known as Z"-Score, is used to predict the likelihood that a non-manufacturing company (excluding property/financial company) will face bankruptcy within a two-year period.

Warning Sign:

Meta Data has a Altman Z2-Score of -24.29, indicating it is in Distress Zones. This implies bankrupcy possibility in the next two years.

The zones of discrimination were as such:

When Altman Z2-Score <= 1.1, it is in Distress Zones.
When Altman Z2-Score >= 2.6, it is in Safe Zones.
When Altman Z2-Score is between 1.1 and 2.6, it is in Grey Zones.

The historical rank and industry rank for Meta Data's Altman Z2-Score or its related term are showing as below:

STU:OSM' s Altman Z2-Score Range Over the Past 10 Years
Min: -216.25   Med: -5.4   Max: -2.71
Current: -24.3

During the past 9 years, Meta Data's highest Altman Z2-Score was -2.71. The lowest was -216.25. And the median was -5.40.


Meta Data Altman Z2-Score Historical Data

The historical data trend for Meta Data's Altman Z2-Score can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

* Premium members only.

Meta Data Altman Z2-Score Chart

Meta Data Annual Data
Trend Aug15 Aug16 Aug17 Aug18 Aug19 Aug20 Aug21 Aug22 Aug23
Altman Z2-Score
Get a 7-Day Free Trial Premium Member Only -2.71 -4.58 -122.46 -216.25 -24.30

Meta Data Semi-Annual Data
Aug15 Aug16 Feb17 Aug17 Feb18 Aug18 Feb19 Aug19 Feb20 Aug20 Feb21 Aug21 Feb22 Aug22 Feb23 Aug23
Altman Z2-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only -122.46 -196.26 -216.25 -57.36 -24.30

Competitive Comparison of Meta Data's Altman Z2-Score

For the Education & Training Services subindustry, Meta Data's Altman Z2-Score, along with its competitors' market caps and Altman Z2-Score data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Meta Data's Altman Z2-Score Distribution in the Education Industry

For the Education industry and Consumer Defensive sector, Meta Data's Altman Z2-Score distribution charts can be found below:

* The bar in red indicates where Meta Data's Altman Z2-Score falls into.



Meta Data Altman Z2-Score Calculation

Altman Z-Score model is an accurate forecaster of failure up to two years prior to distress. It can be considered the assessment of the distress of industrial corporations.

Z2-Score, also known as Z"-Score is the Z-Score for non-manufacturing companies excluding property/financial companies.

Meta Data's Altman Z2-Score for today is calculated with this formula:

Z=6.56*X1+3.26*X2+6.72*X3+1.05*X4_2
=6.56*0.0494+3.26*-7.8093+6.72*0.1185+1.05*0.0412
=-24.29

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency. GuruFocus does not calculate Altman Z2-Score when X4_2 value is 0.

Trailing Twelve Months (TTM) ended in Aug. 2023:
Total Assets was €111.09 Mil.
Total Current Assets was €111.07 Mil.
Total Current Liabilities was €105.58 Mil.
Retained Earnings was €-867.53 Mil.
Pre-Tax Income was €9.66 Mil.
Interest Expense was €-3.50 Mil.
Total Liabilities was €106.69 Mil.

* Note that for stock reported semi-annually or annually, GuruFocus uses latest annual data as the TTM data.

X1=Working Capital/Total Assets
=(Total Current Assets - Total Current Liabilities)/Total Assets
=(111.067 - 105.582)/111.089
=0.0494

X2=Retained Earnings/Total Assets
=-867.532/111.089
=-7.8093

X3=Earnings Before Interest and Taxes/Total Assets
=(Pre-Tax Income - Interest Expense)/Total Assets
=(9.66 - -3.501)/111.089
=0.1185

X4_2=Net Worth/Total Liabilities
=(Total Stockholders Equity - Preferred Stock)/Total Liabilities
=(4.396 - 0)/106.693
=0.0412

The zones of discrimination were as such:

Distress Zones - 1.1 < Grey Zones < 2.6 - Safe Zones

Meta Data has a Altman Z2-Score of -24.29 indicating it is in Distress Zones.


Meta Data  (STU:OSM) Altman Z2-Score Explanation

The original Z-Score model was based on publicly traded manufacturing companies while the Z2-Score, also known as Z"-score can be used for any type of company excluding property/financial companies. Both Z-Score and Z2-Score describes the financial health of a company, and its likelihood of financial distress.

X1: The Working Capital/Total Assets (WC/TA) ratio is a measure of the net liquid assets of the firm relative to the total capitalization. Working capital is defined as the difference between current assets and current liabilities. Ordinarily, a firm experiencing consistent operating losses will have shrinking current assets in relation to total assets. Altman found this one proved to be the most valuable liquidity ratio comparing with the current ratio and the quick ratio. This is however the least significant of the five factors.

X2: Retained Earnings/Total Assets: the RE/TA ratio measures the leverage of a firm. Retained earnings is the account which reports the total amount of reinvested earnings and/or losses of a firm over its entire life. Those firms with high RE, relative to TA, have financed their assets through retention of profits and have not utilized as much debt.

X3, Earnings Before Interest and Taxes/Total Assets (EBIT/TA): This ratio is a measure of the true productivity of the firm's assets, independent of any tax or leverage factors. Since a firm's ultimate existence is based on the earning power of its assets, this ratio appears to be particularly appropriate for studies dealing with corporate failure. This ratio continually outperforms other profitability measures, including cash flow.

X4_2, Net Worth (Total Stockholders Equity - Preferred Stock)/Total Liabilities (NW/TL): it compares a company’s stock net worth with its total liabilities and can be used to assess the extent of its reliance on debt.

Read more about Altman Z2-Score, the original research on Z-Score and the additional research on Z2-Score.


Be Aware

Altman Z2-Score does not apply to financial companies.


Meta Data Altman Z2-Score Related Terms

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Meta Data Business Description

Traded in Other Exchanges
Address
45-47 Au Pui Wan Street, Flat H 3/F, Haribest Industrial Building, Sha Tin New Territorie, Hong Kong, HKG
Meta Data Ltd is engaged in artificial intelligent education service (AIE) and artificial intelligent universe (AIU) IAAS service. AIE is to build an intelligent training system based on intelligent training plat-from to provide the maximum immersive experience and the technical foundation for learning, and implementation in RT3D with 360-degree landscape. AIU IAAS service provides software & hardware infrastructure (IAAS) to Metaverse business operator or individual users. Company classified business segment into Artificial Intelligent Education (AIE) service and Artificial Intelligent Universe (AIU) IAAS service. The company generates all of its revenue in the PRC.

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