DaVita Inc (DVA)

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49.76 +0.51  +1.04% NYSE Jun 18, 16:59 Delayed 2m USD

DaVita Ohlson Score (TTM):

0.9511 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 0.9511
Dec. 31, 2018 1.442
Sept. 30, 2018 -0.1891
June 30, 2018 1.024
March 31, 2018 1.201
Dec. 31, 2017 -0.0859
Sept. 30, 2017 0.5885
June 30, 2017 2.570
March 31, 2017 0.8058
Dec. 31, 2016 2.735
Sept. 30, 2016 0.7663
June 30, 2016 1.692
March 31, 2016 0.704
Dec. 31, 2015 -18.11
Sept. 30, 2015 0.9833
June 30, 2015 0.1665
March 31, 2015 -0.2945
Dec. 31, 2014 0.9722
Sept. 30, 2014 1.071
June 30, 2014 1.360
March 31, 2014 1.393
Dec. 31, 2013 1.217
Sept. 30, 2013 1.911
June 30, 2013 1.011
March 31, 2013 3.787
   
Dec. 31, 2012 1.521
Sept. 30, 2012 1.385
June 30, 2012 1.710
March 31, 2012 1.485
Dec. 31, 2011 1.458
Sept. 30, 2011 1.469
June 30, 2011 1.475
March 31, 2011 1.171
Dec. 31, 2010 1.718
Sept. 30, 2010
June 30, 2010 1.205
March 31, 2010 1.152
Dec. 31, 2009 1.279
Sept. 30, 2009 1.326
June 30, 2009 1.374
March 31, 2009 1.532
Dec. 31, 2008 1.624
Sept. 30, 2008 1.435
June 30, 2008 1.517
March 31, 2008 1.472
Dec. 31, 2007 1.606
Sept. 30, 2007 1.782
June 30, 2007 1.550
March 31, 2007 1.908
Dec. 31, 2006 2.239

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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) Range, Past 5 Years

Minimum -18.11 Dec 2015
Maximum 2.735 Dec 2016
Average 0.0174

Ohlson Score (TTM) Excel Add-In Codes

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