Pitney Bowes (PBI)

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9.77 -0.03  -0.31% NYSE Nov 21, 20:00 Delayed 2m USD

Pitney Bowes Ohlson Score (TTM):

3.097 for Sept. 30, 2017
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Pitney Bowes Ohlson Score (TTM) Chart

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Pitney Bowes Historical Ohlson Score (TTM) Data

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Data for this Date Range  
Sept. 30, 2017 3.097
June 30, 2017 3.957
March 31, 2017 2.739
Dec. 31, 2016 2.940
Sept. 30, 2016 3.288
June 30, 2016 3.580
March 31, 2016 3.665
Dec. 31, 2015 3.485
Sept. 30, 2015 3.920
June 30, 2015 3.254
March 31, 2015 3.454
Dec. 31, 2014 3.954
Sept. 30, 2014 3.037
June 30, 2014 2.976
March 31, 2014 3.872
Dec. 31, 2013 2.682
Sept. 30, 2013 3.773
June 30, 2013 -1.162
March 31, 2013 3.652
Dec. 31, 2012 3.207
Sept. 30, 2012 3.653
June 30, 2012 3.838
March 31, 2012 3.691
Dec. 31, 2011 3.340
Sept. 30, 2011 3.155
   
June 30, 2011 3.310
March 31, 2011 3.254
Dec. 31, 2010 3.71
Sept. 30, 2010 3.324
June 30, 2010 3.631
March 31, 2010 3.513
Dec. 31, 2009 3.455
Sept. 30, 2009 3.405
June 30, 2009 3.412
March 31, 2009 3.504
Dec. 31, 2008 4.04
Sept. 30, 2008 3.617
June 30, 2008 3.240
March 31, 2008 2.485
Dec. 31, 2007 1.595
Sept. 30, 2007 3.214
June 30, 2007 3.178
March 31, 2007 3.202
Dec. 31, 2006 3.091
Sept. 30, 2006 1.486
June 30, 2006 2.508
March 31, 2006 2.606
Dec. 31, 2005 3.138
Sept. 30, 2005 2.815
June 30, 2005 3.135

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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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PBI Ohlson Score (TTM) Benchmarks

Companies
VeriFone Systems -0.5925
Standex International 0.816
Tennant -1.724

PBI Ohlson Score (TTM) Range, Past 5 Years

Minimum -1.162 Jun 2013
Maximum 3.957 Jun 2017
Average 3.168

PBI Ohlson Score (TTM) Excel Add-In Codes

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

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

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