Equifax Inc (EFX)

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137.99 +0.57  +0.41% NYSE Jul 17, 16:59 Delayed 2m USD

Equifax Ohlson Score (TTM):

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

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Data for this Date Range  
March 31, 2019 1.772
Dec. 31, 2018 1.179
Sept. 30, 2018 2.187
June 30, 2018 0.3861
March 31, 2018 1.933
Dec. 31, 2017 1.326
Sept. 30, 2017 1.779
June 30, 2017 1.287
March 31, 2017 1.565
Dec. 31, 2016 2.026
Sept. 30, 2016 2.028
June 30, 2016 1.66
March 31, 2016 2.966
Dec. 31, 2015 0.7863
Sept. 30, 2015 0.9664
June 30, 2015 1.132
March 31, 2015 1.355
Dec. 31, 2014 1.285
Sept. 30, 2014 1.163
June 30, 2014 1.040
March 31, 2014 1.221
Dec. 31, 2013 0.8102
Sept. 30, 2013 0.5579
June 30, 2013 0.7551
March 31, 2013 0.6986
   
Dec. 31, 2012 1.773
Sept. 30, 2012 0.3346
June 30, 2012 0.3906
March 31, 2012 0.4804
Dec. 31, 2011 0.7965
Sept. 30, 2011 0.4996
June 30, 2011 0.9342
March 31, 2011 0.6839
Dec. 31, 2010 0.8678
Sept. 30, 2010
June 30, 2010
March 31, 2010 1.123
Dec. 31, 2009 1.399
Sept. 30, 2009 1.643
June 30, 2009 1.864
March 31, 2009 2.108
Dec. 31, 2008 1.537
Sept. 30, 2008 1.386
June 30, 2008 1.425
March 31, 2008 1.269
Dec. 31, 2007 1.835
Sept. 30, 2007 1.617
June 30, 2007 1.141
March 31, 2007 1.649
Dec. 31, 2006 2.227

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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
Fleetcor Technologies Inc 2.075
TransUnion 1.768
Automatic Data Processing Inc 1.978

Ohlson Score (TTM) Range, Past 5 Years

Minimum 0.3861 Jun 2018
Maximum 2.966 Mar 2016
Average 1.515

Ohlson Score (TTM) Excel Add-In Codes

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

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

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