Pitney Bowes Inc (PBI)

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7.15 +0.05  +0.70% NYSE Sep 26, 10:26 Delayed 2m USD

Pitney Bowes Inc Ohlson Score (TTM):

3.318 for June 30, 2018
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Pitney Bowes Inc Historical Ohlson Score (TTM) Data

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Data for this Date Range  
June 30, 2018 3.318
March 31, 2018 3.682
Dec. 31, 2017 3.015
Sept. 30, 2017 3.114
June 30, 2017 3.974
March 31, 2017 2.797
Dec. 31, 2016 2.898
Sept. 30, 2016 3.026
June 30, 2016 3.294
March 31, 2016 3.367
Dec. 31, 2015 3.210
Sept. 30, 2015 3.628
June 30, 2015 2.992
March 31, 2015 3.185
Dec. 31, 2014 3.656
Sept. 30, 2014 2.780
June 30, 2014 2.734
March 31, 2014 3.570
Dec. 31, 2013 2.464
Sept. 30, 2013 5.261
June 30, 2013 -5.423
March 31, 2013 3.469
Dec. 31, 2012 3.003
Sept. 30, 2012 3.414
June 30, 2012 3.598
   
March 31, 2012 3.521
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

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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
Standex International Corp 0.7735
Tennant Co 1.638
Zebra Technologies Corp 2.560

PBI Ohlson Score (TTM) Range, Past 5 Years

Minimum 2.464 Dec 2013
Maximum 5.261 Sep 2013
Average 3.298

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.

Access our powerful Excel Add-in with a YCharts Professional Membership. Learn More.

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