Pitney Bowes (PBI)

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9.61 +0.00  +0.00% NYSE Jun 19, 20:00 Delayed 2m USD

Pitney Bowes Ohlson Score (TTM):

3.664 for March 31, 2018
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Pitney Bowes Historical Ohlson Score (TTM) Data

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Data for this Date Range  
March 31, 2018 3.664
Dec. 31, 2017 2.995
Sept. 30, 2017 3.094
June 30, 2017 3.954
March 31, 2017 2.776
Dec. 31, 2016 2.877
Sept. 30, 2016 3.005
June 30, 2016 3.273
March 31, 2016 3.346
Dec. 31, 2015 3.189
Sept. 30, 2015 3.608
June 30, 2015 2.972
March 31, 2015 3.165
Dec. 31, 2014 3.636
Sept. 30, 2014 2.76
June 30, 2014 2.714
March 31, 2014 3.550
Dec. 31, 2013 2.443
Sept. 30, 2013 5.241
June 30, 2013 -5.444
March 31, 2013 3.448
Dec. 31, 2012 2.982
Sept. 30, 2012 3.393
June 30, 2012 3.577
March 31, 2012 3.50
   
Dec. 31, 2011 3.094
Sept. 30, 2011 2.933
June 30, 2011 3.093
March 31, 2011 3.152
Dec. 31, 2010 3.330
Sept. 30, 2010
June 30, 2010 3.416
March 31, 2010 3.301
Dec. 31, 2009 3.248
Sept. 30, 2009 3.143
June 30, 2009 3.15
March 31, 2009 3.24
Dec. 31, 2008 3.785
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

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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

Benchmarks
VeriFone Systems 1.096
Standex International 0.1179
Tennant 1.024

PBI Ohlson Score (TTM) Range, Past 5 Years

Minimum -5.444 Jun 2013
Maximum 5.241 Sep 2013
Average 2.841

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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