Apple Inc (AAPL)

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193.53 +2.12  +1.11% NASDAQ Nov 16, 20:00 Delayed 2m USD

Apple Inc Ohlson Score (TTM):

-0.1142 for Sept. 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  
Sept. 30, 2018 -0.1142
June 30, 2018 -0.243
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 -2.418
Sept. 30, 2011 -2.048
June 30, 2011 -2.222
March 31, 2011 -2.166
Dec. 31, 2010 -2.147
Sept. 30, 2010 -2.179
June 30, 2010 -2.255
March 31, 2010 -2.317
Dec. 31, 2009 -2.338
Sept. 30, 2009 -2.382
June 30, 2009 -1.481
March 31, 2009 -1.477
Dec. 31, 2008 -1.503
Sept. 30, 2008 -2.293
June 30, 2008 -2.089
March 31, 2008 -1.589
Dec. 31, 2007 -1.831
Sept. 30, 2007 -1.610
June 30, 2007 -1.885
March 31, 2007 -1.883
Dec. 31, 2006 -1.617
Sept. 30, 2006 -1.374
June 30, 2006 -1.608

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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 -0.6162
Intel Corp -1.384
NVIDIA Corp -2.880

AAPL Ohlson Score (TTM) Range, Past 5 Years

Minimum -1.958 Dec 2013
Maximum -0.1142 Sep 2018
Average -0.8003

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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