United Parcel Service Inc (UPS)

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111.76 +0.69  +0.62% NYSE Feb 21, 20:00 Delayed 2m USD

United Parcel Service Inc Ohlson Score (TTM):

3.465 for Dec. 31, 2018
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United Parcel Service Inc Ohlson Score (TTM) Chart

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United Parcel Service Inc Historical Ohlson Score (TTM) Data

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Data for this Date Range  
Dec. 31, 2018 3.465
Sept. 30, 2018 2.200
June 30, 2018 2.212
March 31, 2018 2.291
Dec. 31, 2017 2.495
Sept. 30, 2017 2.630
June 30, 2017 2.487
March 31, 2017 2.184
Dec. 31, 2016 -0.655
Sept. 30, 2016 2.239
June 30, 2016 2.089
March 31, 2016 2.309
Dec. 31, 2015 2.205
Sept. 30, 2015 2.414
June 30, 2015 2.176
March 31, 2015 2.039
Dec. 31, 2014 3.191
Sept. 30, 2014 1.258
June 30, 2014 2.110
March 31, 2014 1.554
Dec. 31, 2013 1.215
Sept. 30, 2013 1.856
June 30, 2013 1.848
March 31, 2013 0.4061
Dec. 31, 2012 1.011
   
Sept. 30, 2012 1.975
June 30, 2012 1.047
March 31, 2012 0.9923
Dec. 31, 2011 1.390
Sept. 30, 2011 1.101
June 30, 2011 0.9174
March 31, 2011 1.064
Dec. 31, 2010 0.9614
Sept. 30, 2010 0.9378
June 30, 2010 1.035
March 31, 2010 1.551
Dec. 31, 2009 1.097
Sept. 30, 2009 1.338
June 30, 2009 1.416
March 31, 2009 1.373
Dec. 31, 2008 3.123
Sept. 30, 2008 1.154
June 30, 2008 1.362
March 31, 2008 -0.8937
Dec. 31, 2007 0.2615
Sept. 30, 2007 0.1084
June 30, 2007 -0.1024
March 31, 2007 0.1524
Dec. 31, 2006 -0.1264
Sept. 30, 2006 -0.099

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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
XPO Logistics Inc 1.480
FedEx Corp 0.1936
Saia Inc 0.6818

UPS Ohlson Score (TTM) Range, Past 5 Years

Minimum -0.655 Dec 2016
Maximum 3.465 Dec 2018
Average 2.145

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.

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