GURUFOCUS.COM » STOCK LIST » Industrials » Business Services » Verisk Analytics Inc (NAS:VRSK) » Definitions » Altman Z-Score

VRSK (Verisk Analytics) Altman Z-Score : 9.32 (As of Dec. 11, 2024)


View and export this data going back to 2009. Start your Free Trial

What is Verisk Analytics Altman Z-Score?

The Altman Z-Score is a model designed to predict the likelihood of a company going bankrupt within the next two years. Created by American finance professor Edward Altman in 1968, the model is specifically designed for publicly traded manufacturing companies with assets greater than $1 million.

Good Sign:

Altman Z-score of 9.36 is strong.

Verisk Analytics has a Altman Z-Score of 9.32, indicating it is in Safe Zones. This implies the Altman Z-Score is strong.

The zones of discrimination were as such:

When Altman Z-Score <= 1.8, it is in Distress Zones.
When Altman Z-Score >= 3, it is in Safe Zones.
When Altman Z-Score is between 1.8 and 3, it is in Grey Zones.

The historical rank and industry rank for Verisk Analytics's Altman Z-Score or its related term are showing as below:

VRSK' s Altman Z-Score Range Over the Past 10 Years
Min: 2.52   Med: 4.98   Max: 9.36
Current: 9.36

During the past 13 years, Verisk Analytics's highest Altman Z-Score was 9.36. The lowest was 2.52. And the median was 4.98.


Verisk Analytics Altman Z-Score Historical Data

The historical data trend for Verisk Analytics's Altman Z-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.

Verisk Analytics Altman Z-Score Chart

Verisk Analytics Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Altman Z-Score
Get a 7-Day Free Trial Premium Member Only Premium Member Only 4.46 5.67 5.96 5.14 8.62

Verisk Analytics Quarterly Data
Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24
Altman Z-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 Premium Member Only Premium Member Only Premium Member Only Premium Member Only 8.71 8.62 8.32 8.77 8.99

Competitive Comparison of Verisk Analytics's Altman Z-Score

For the Consulting Services subindustry, Verisk Analytics's Altman Z-Score, along with its competitors' market caps and Altman Z-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.


Verisk Analytics's Altman Z-Score Distribution in the Business Services Industry

For the Business Services industry and Industrials sector, Verisk Analytics's Altman Z-Score distribution charts can be found below:

* The bar in red indicates where Verisk Analytics's Altman Z-Score falls into.



Verisk Analytics Altman Z-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.

Verisk Analytics's Altman Z-Score for today is calculated with this formula:

Z=1.2*X1+1.4*X2+3.3*X3+0.6*X4+1.0*X5
=1.2*-0.0531+1.4*1.5336+3.3*0.288+0.6*9.4512+1.0*0.6187
=9.32

* 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 Z-Score when X4 or X5 value is 0.

Trailing Twelve Months (TTM) ended in Sep. 2024:
Total Assets was $4,563 Mil.
Total Current Assets was $1,093 Mil.
Total Current Liabilities was $1,335 Mil.
Retained Earnings was $6,998 Mil.
Pre-Tax Income was 285.3 + 393 + 275.2 + 242.7 = $1,196 Mil.
Interest Expense was -32.1 + -29.1 + -28.9 + -28.1 = $-118 Mil.
Revenue was 725.3 + 716.8 + 704 + 677.2 = $2,823 Mil.
Market Cap (Today) was $40,248 Mil.
Total Liabilities was $4,259 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
=(1092.6 - 1335.1)/4563.2
=-0.0531

X2=Retained Earnings/Total Assets
=6998.1/4563.2
=1.5336

X3=Earnings Before Interest and Taxes/Total Assets
=(Pre-Tax Income - Interest Expense)/Total Assets
=(1196.2 - -118.2)/4563.2
=0.288

X4=Market Value Equity/Book Value of Total Liabilities
=Market Cap/Total Liabilities
=40247.855/4258.5
=9.4512

X5=Revenue/Total Assets
=2823.3/4563.2
=0.6187

The zones of discrimination were as such:

Distress Zones - 1.81 < Grey Zones < 2.99 - Safe Zones

Verisk Analytics has a Altman Z-Score of 9.32 indicating it is in Safe Zones.

Study by Altman found that companies that are in Distress Zone have more than 80% of chances of bankruptcy in two years.


Verisk Analytics  (NAS:VRSK) Altman Z-Score Explanation

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, Market Value of Equity/Book Value of Total Liabilities (MVE/TL): The measure shows how much the firm's assets can decline in value (measured by market value of equity plus debt) before the liabilities exceed the assets and the firm becomes insolvent.

X5, Revenue/Total Assets (S/TA): The capital-turnover ratio is a standard financial ratio illustrating the sales generating ability of the firm's assets.

Read more about Altman Z-Score and the original research.


Be Aware

Altman Z-Score does not apply to financial companies.


Verisk Analytics Altman Z-Score Related Terms

Thank you for viewing the detailed overview of Verisk Analytics's Altman Z-Score provided by GuruFocus.com. Please click on the following links to see related term pages.


Verisk Analytics Business Description

Address
545 Washington Boulevard, Jersey City, NJ, USA, 07310-1686
Verisk Analytics is the leading provider of statistical, actuarial, and underwriting data for the United States' property and casualty insurance industry. Verisk leverages a vast contributory database and proprietary data assets to develop analytical tools helping insurance providers to better assess and price risk, achieve operational efficiency and optimize claim settlement processes. While Verisk also offers tools to quantify costs after loss events occur and to detect fraudulent activity, it is expanding into adjacent markets of life insurance, marketing, and non-US operations.
Executives
Lee Shavel officer: EVP and CFO ONE LIBERTY PLAZA, NEW YORK NY 10006
Elizabeth Mann officer: Chief Financial Officer C/O VERISK ANALYTICS, INC., 545 WASHINGTON BOULEVARD, JERSEY CITY NJ 07310
Samuel G Liss director VERISK ANALYTICS, INC., 545 WASHINGTON BOULEVARD, JERSEY CITY NJ 07310
David J. Grover officer: Chief Accounting Officer C/O VERISK ANALYSIS, INC., 545 WASHINGTON BOULEVARD, JERSEY CITY NJ 07310
Wendy E Lane director
Kathy Card Beckles officer: EVP, Gen Counsel and Corp Sec C/O VERISK ANALYTICS, INC., 545 WASHINGTON BOULEVARD, JERSEY CITY NJ 073I0
Nicholas Daffan officer: Chief Information Officer C/O VERISK ANALYTICS, INC., 545 WASHINGTON BOULEVARD, JERSEY CITY NJ 07310
Therese M Vaughan director VALIDUS HOLDINGS, THE CHARTIS BUILDING / 29 RICHMOND ROAD, PEMBROKE D0 HM 08
Bruce Edward Hansen director 17732 VINEYARD LANE, POWAY CA 92064
Christopher M Foskett director C/O VERISK ANALYTICS, INC., 545 WASHINGTON BOULEVARD, JERSEY CITY NJ 07310-1686
David B Wright director C/O EMC CORPORATION, 176 SOUTH STREET, HOPKINTON MA 01748
Olumide Soroye director 6920 SEAWAY BLVD., EVERETT WA 98203
Jeffrey J Dailey director 545 WASHINGTON BOULEVARD, JERSEY CITY NJ 07310
Kimberly S Stevenson director 199 FREMONT STREET, 7TH FLOOR, SAN FRANCISCO CA 94105
Scott G Stephenson officer: EVP & COO C/O VERISK ANALYTICS, INC., 545 WASHINGTON BOULEVARD, JERSEY CITY NJ 07310-1686