United Parcel Service (UPS)

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105.61 +0.53  +0.50% NYSE Feb 23, 20:00 Delayed 2m USD

United Parcel Service Ohlson Score (TTM):

2.481 for Dec. 31, 2017
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United Parcel Service Ohlson Score (TTM) Chart

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United Parcel Service Historical Ohlson Score (TTM) Data

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Export Data Date Range:
Data for this Date Range  
Dec. 31, 2017 2.481
Sept. 30, 2017 2.612
June 30, 2017 2.468
March 31, 2017 2.167
Dec. 31, 2016 -0.6723
Sept. 30, 2016 2.222
June 30, 2016 2.072
March 31, 2016 2.292
Dec. 31, 2015 2.188
Sept. 30, 2015 2.397
June 30, 2015 2.159
March 31, 2015 2.022
Dec. 31, 2014 3.174
Sept. 30, 2014 1.240
June 30, 2014 2.092
March 31, 2014 1.536
Dec. 31, 2013 1.197
Sept. 30, 2013 1.837
June 30, 2013 1.829
March 31, 2013 0.3875
Dec. 31, 2012 1.003
Sept. 30, 2012 1.967
June 30, 2012 1.038
March 31, 2012 0.9837
Dec. 31, 2011 1.381
   
Sept. 30, 2011 1.092
June 30, 2011 0.9084
March 31, 2011 1.054
Dec. 31, 2010 0.9516
Sept. 30, 2010 0.9277
June 30, 2010 1.026
March 31, 2010 1.542
Dec. 31, 2009 1.089
Sept. 30, 2009 1.330
June 30, 2009 1.395
March 31, 2009 1.352
Dec. 31, 2008 3.102
Sept. 30, 2008 1.133
June 30, 2008 1.341
March 31, 2008 -0.915
Dec. 31, 2007 0.2409
Sept. 30, 2007 0.088
June 30, 2007 -0.1235
March 31, 2007 0.131
Dec. 31, 2006 -0.1472
Sept. 30, 2006 -0.1199
June 30, 2006 -0.404
March 31, 2006 -0.2592
Dec. 31, 2005 -0.405
Sept. 30, 2005 -0.1983

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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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UPS Ohlson Score (TTM) Benchmarks

Benchmarks
FedEx 0.264
Boeing 2.031
XPO Logistics 1.146

UPS Ohlson Score (TTM) Range, Past 5 Years

Minimum -0.6723 Dec 2016
Maximum 3.174 Dec 2014
Average 1.885

UPS Ohlson Score (TTM) Excel Add-In Codes

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