Bristol-Myers Squibb Co (BMY)

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47.66 +0.68  +1.45% NYSE Aug 19, 14:55 Delayed 2m USD

Bristol-Myers Squibb Ohlson Score (TTM):

-0.3361 for June 30, 2019
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Ohlson Score (TTM) Chart

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Historical Ohlson Score (TTM) Data

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Data for this Date Range  
June 30, 2019 -0.3361
March 31, 2019 -0.6607
Dec. 31, 2018 0.2072
Sept. 30, 2018 -0.2983
June 30, 2018 1.987
March 31, 2018 -1.067
Dec. 31, 2017 -0.2454
Sept. 30, 2017 -0.1949
June 30, 2017 0.1127
March 31, 2017 -0.477
Dec. 31, 2016 -0.2928
Sept. 30, 2016 -0.2972
June 30, 2016 -0.2304
March 31, 2016 -0.7098
Dec. 31, 2015 -2.355
Sept. 30, 2015 -1.060
June 30, 2015 -5.685
March 31, 2015 -0.995
Dec. 31, 2014 28.14
Sept. 30, 2014 -0.6004
June 30, 2014 0.58
March 31, 2014 -0.5422
Dec. 31, 2013 0.0456
Sept. 30, 2013 0.1711
June 30, 2013 0.4505
   
March 31, 2013 0.7935
Dec. 31, 2012 -0.3585
Sept. 30, 2012 -0.4329
June 30, 2012 -0.0524
March 31, 2012 -0.5984
Dec. 31, 2011 -0.5044
Sept. 30, 2011 -0.789
June 30, 2011 -0.6518
March 31, 2011 -0.9684
Dec. 31, 2010 -0.1204
Sept. 30, 2010
June 30, 2010 -1.230
March 31, 2010 4.054
Dec. 31, 2009 -1.481
Sept. 30, 2009 -0.3826
June 30, 2009 -0.8528
March 31, 2009 -0.0939
Dec. 31, 2008 0.1826
Sept. 30, 2008 -0.8848
June 30, 2008 0.2852
March 31, 2008 -0.1127
Dec. 31, 2007 -5.034
Sept. 30, 2007 0.1616
June 30, 2007 0.1842
March 31, 2007 -0.3469

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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
Amgen Inc 0.5439
Biogen Inc -0.7641
Celgene Corp 0.3705

Ohlson Score (TTM) Range, Past 5 Years

Minimum -5.685 Jun 2015
Maximum 28.14 Dec 2014
Average 0.7469

Ohlson Score (TTM) Excel Add-In Codes

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