CBIZ Inc (CBZ)

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20.37 -0.18  -0.88% NYSE Jun 14, 20:00 Delayed 2m USD

CBIZ Ohlson Score (TTM):

0.6438 for March 31, 2019
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Historical Ohlson Score (TTM) Data

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Export Data Date Range:
Data for this Date Range  
March 31, 2019 0.6438
Dec. 31, 2018 -6.754
Sept. 30, 2018 0.8726
June 30, 2018 1.927
March 31, 2018 0.5827
Dec. 31, 2017 1.856
Sept. 30, 2017 1.214
June 30, 2017 1.910
March 31, 2017 0.6717
Dec. 31, 2016 -7.229
Sept. 30, 2016 1.169
June 30, 2016 2.453
March 31, 2016 0.7924
Dec. 31, 2015 -1.764
Sept. 30, 2015 1.065
June 30, 2015 2.263
March 31, 2015 0.9238
Dec. 31, 2014 -1.774
Sept. 30, 2014 1.377
June 30, 2014 2.340
March 31, 2014 0.7209
Dec. 31, 2013 -7.154
Sept. 30, 2013 1.183
June 30, 2013 2.414
March 31, 2013 1.682
   
Dec. 31, 2012 3.916
Sept. 30, 2012 2.125
June 30, 2012 3.241
March 31, 2012 1.567
Dec. 31, 2011 -0.2688
Sept. 30, 2011 2.357
June 30, 2011 3.084
March 31, 2011 1.864
Dec. 31, 2010 0.701
Sept. 30, 2010 2.621
June 30, 2010 3.246
March 31, 2010 1.272
Dec. 31, 2009 3.486
Sept. 30, 2009 2.056
June 30, 2009 2.691
March 31, 2009 1.637
Dec. 31, 2008 3.561
Sept. 30, 2008 2.242
June 30, 2008 2.788
March 31, 2008 1.760
Dec. 31, 2007 1.871
Sept. 30, 2007 2.262
June 30, 2007 1.901
March 31, 2007 1.392
Dec. 31, 2006 2.033

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About Ohlson's O-Score

Created by James Ohlson in the 1980s, the Ohlson Score uses items from the financial statement to predict the likelihood of a firm's bankruptcy. The O-Score breaks it down into nine different approximate measures of a firm's default risk, two of the nine being dummy variables: these nine are used to determine firm size, leverage, working capital, liquidity, profitability, change in net income, and debt financing. Together, these nine variables build an O-Score where the probability of failure is EXP(O-Score) divided by 1+EXP(O-score). Results greater than >.5 indicate a firm with a high chance of default.

It has been argued that the Ohlson Score is a better predictor of bankruptcy than other similar accounting models such as the Altman Z-Score, however, investors may find merits in using both Altman and Ohlson in helping to predict a firm's bankruptcy.

Because both Ohlson and Altman use an accounting-based model to help predict bankruptcy, its strength is its relatively simplicity. However, there are other bankruptcy models such as Merton's Distance to Default and CHS are other bankruptcy models that are used by academics and argued to be more effective in predicting bankruptcy risk.
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Ohlson Score (TTM) Benchmarks

Benchmarks
Viad Corp 2.504
Emerald Expositions Events Inc 0.306
Atlas Resources International Inc --

Ohlson Score (TTM) Range, Past 5 Years

Minimum -7.229 Dec 2016
Maximum 2.453 Jun 2016
Average 0.227

Ohlson Score (TTM) Excel Add-In Codes

  • Metric Code: ohlson_score
  • Data Point Example: =YCP("CBZ", "ohlson_score")
  • Data Series Example: =YCS("CBZ", "ohlson_score", -4)

To find the codes for any of our financial metrics, see our Complete Reference of Metric Codes.

Access our powerful Excel Add-in with a YCharts Professional Membership. Learn More.

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