Graham Corp (GHM)

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28.10 +0.01  +0.04% NYSE Sep 21, 20:00 Delayed 2m USD

Graham Corp Ohlson Score (TTM):

-0.4586 for June 30, 2018
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Graham Corp Ohlson Score (TTM) Chart

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Graham Corp Historical Ohlson Score (TTM) Data

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Data for this Date Range  
June 30, 2018 -0.4586
March 31, 2018 -8.097
Dec. 31, 2017 -0.9491
Sept. 30, 2017 47.52
June 30, 2017 -0.2157
March 31, 2017 -0.5306
Dec. 31, 2016 -0.6603
Sept. 30, 2016 -1.051
June 30, 2016 2.288
March 31, 2016 0.1694
Dec. 31, 2015 -0.3373
Sept. 30, 2015 -0.6403
June 30, 2015 -0.3512
March 31, 2015 -0.6099
Dec. 31, 2014 -0.4699
Sept. 30, 2014 -0.5772
June 30, 2014 -0.5571
March 31, 2014 -0.6737
Dec. 31, 2013 -0.0928
Sept. 30, 2013 -0.3713
June 30, 2013 -0.4249
March 31, 2013 -0.4814
Dec. 31, 2012 -0.2934
Sept. 30, 2012 -0.3846
June 30, 2012 -0.6046
   
March 31, 2012 1.426
Dec. 31, 2011 1.137
Sept. 30, 2011 -0.12
June 30, 2011 0.336
March 31, 2011 0.2543
Dec. 31, 2010 0.8811
Sept. 30, 2010 -0.075
June 30, 2010 0.0428
March 31, 2010 0.4794
Dec. 31, 2009 0.0424
Sept. 30, 2009 0.3248
June 30, 2009 -0.3353
March 31, 2009 -0.1025
Dec. 31, 2008 -0.3613
Sept. 30, 2008 -0.1502
June 30, 2008 -0.2814
March 31, 2008 0.0046
Dec. 31, 2007 0.0493
Sept. 30, 2007 -0.116
June 30, 2007 0.7037
March 31, 2007 0.4424
Dec. 31, 2006 0.7575
Sept. 30, 2006 1.173
June 30, 2006 0.4279
March 31, 2006 0.5109

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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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GHM Ohlson Score (TTM) Benchmarks

Benchmarks
Energy Recovery Inc -0.486
Conair Corp --
American Electric Technologies Inc 5.254

GHM Ohlson Score (TTM) Range, Past 5 Years

Minimum -8.097 Mar 2018
Maximum 47.52 Sep 2017
Average 1.667

GHM Ohlson Score (TTM) Excel Add-In Codes

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