Apple Inc (AAPL)

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217.58 +4.26  +2.00% NASDAQ Aug 17, 20:00 Delayed 2m USD

Apple Inc Ohlson Score (TTM):

-0.2397 for June 30, 2018
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Apple Inc Ohlson Score (TTM) Chart

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Apple Inc Historical Ohlson Score (TTM) Data

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Data for this Date Range  
June 30, 2018 -0.2397
March 31, 2018 -0.3259
Dec. 31, 2017 -0.6925
Sept. 30, 2017 -0.6062
June 30, 2017 -0.5594
March 31, 2017 -0.4517
Dec. 31, 2016 -0.9142
Sept. 30, 2016 -0.8097
June 30, 2016 -0.5991
March 31, 2016 -0.46
Dec. 31, 2015 -0.8578
Sept. 30, 2015 -0.6466
June 30, 2015 -0.7141
March 31, 2015 -0.9215
Dec. 31, 2014 -1.225
Sept. 30, 2014 -0.9211
June 30, 2014 -1.342
March 31, 2014 -1.646
Dec. 31, 2013 -1.958
Sept. 30, 2013 -1.954
June 30, 2013 -1.896
March 31, 2013 -2.291
Dec. 31, 2012 -2.397
Sept. 30, 2012 -2.214
June 30, 2012 -2.183
   
March 31, 2012 -2.26
Dec. 31, 2011 -2.439
Sept. 30, 2011 -2.069
June 30, 2011 -2.244
March 31, 2011 -2.187
Dec. 31, 2010 -2.168
Sept. 30, 2010 -2.200
June 30, 2010 -2.276
March 31, 2010 -2.338
Dec. 31, 2009 -2.358
Sept. 30, 2009 -2.403
June 30, 2009 -1.502
March 31, 2009 -1.498
Dec. 31, 2008 -1.523
Sept. 30, 2008 -2.314
June 30, 2008 -2.110
March 31, 2008 -1.610
Dec. 31, 2007 -1.852
Sept. 30, 2007 -1.631
June 30, 2007 -1.906
March 31, 2007 -1.905
Dec. 31, 2006 -1.638
Sept. 30, 2006 -1.395
June 30, 2006 -1.629
March 31, 2006 -1.363

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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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AAPL Ohlson Score (TTM) Benchmarks

Benchmarks
Cisco Systems Inc -0.7811
Intel Corp -1.310
Micron Technology Inc -2.370

AAPL Ohlson Score (TTM) Range, Past 5 Years

Minimum -1.958 Dec 2013
Maximum -0.2397 Jun 2018
Average -0.8922

AAPL Ohlson Score (TTM) Excel Add-In Codes

  • Metric Code: ohlson_score
  • Latest data point: =YCP("AAPL", "ohlson_score")
  • Last 5 data points: =YCS("AAPL", "ohlson_score", -4)

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

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