Applied Materials Inc (AMAT)

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41.28 +0.93  +2.30% NASDAQ May 21, 16:59 Delayed 2m USD

Applied Materials Ohlson Score (TTM):

-0.4674 for April 30, 2019
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Applied Materials Inc Ohlson Score (TTM) Chart

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Applied Materials Inc Historical Ohlson Score (TTM) Data

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Data for this Date Range  
April 30, 2019 -0.4674
Jan. 31, 2019 -0.4865
Oct. 31, 2018 -0.0272
July 31, 2018 -0.1848
April 30, 2018 -0.65
Jan. 31, 2018 1.953
Oct. 31, 2017 -1.052
July 31, 2017 -0.8774
April 30, 2017 -0.8186
Jan. 31, 2017 -0.8227
Oct. 31, 2016 -0.6844
July 31, 2016 -0.7753
April 30, 2016 -0.6213
Jan. 31, 2016 -0.7853
Oct. 31, 2015 -0.6789
July 31, 2015 -1.081
April 30, 2015 -1.332
Jan. 31, 2015 -1.415
Oct. 31, 2014 -1.004
July 31, 2014 -1.131
April 30, 2014 -1.036
Jan. 31, 2014 -1.095
Oct. 31, 2013 -0.8873
July 31, 2013 -1.708
April 30, 2013 -1.414
   
Jan. 31, 2013 -9.317
Oct. 31, 2012 -1.560
July 31, 2012 -0.999
April 30, 2012 -1.522
Jan. 31, 2012 0.2133
Oct. 31, 2011 -1.807
July 31, 2011 -1.552
April 30, 2011 -1.658
Jan. 31, 2011 -1.706
Oct. 31, 2010 -1.930
July 31, 2010 -0.8389
April 30, 2010 -1.918
Jan. 31, 2010 -1.295
Oct. 31, 2009 -2.591
July 31, 2009 0.1094
April 30, 2009 -2.023
Jan. 31, 2009 -3.042
Oct. 31, 2008 -1.635
July 31, 2008 -1.060
April 30, 2008 -1.725
Jan. 31, 2008 -1.450
Oct. 31, 2007 -1.853
July 31, 2007 -1.861
April 30, 2007 -1.724
Jan. 31, 2007 -1.651

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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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AMAT Ohlson Score (TTM) Benchmarks

Benchmarks
Advanced Micro Devices Inc 1.342
Intel Corp -1.281
Micron Technology Inc -1.841

AMAT Ohlson Score (TTM) Range, Past 5 Years

Minimum -1.415 Jan 2015
Maximum 1.953 Jan 2018
Average -0.6471

Ohlson Score (TTM) Excel Add-In Codes

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