Unifi (UFI)

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35.57 +0.09  +0.25% NYSE Nov 17, 20:00 Delayed 2m USD

Unifi Ohlson Score (TTM):

-0.1366 for Sept. 30, 2017
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Unifi Ohlson Score (TTM) Chart

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Unifi Historical Ohlson Score (TTM) Data

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Data for this Date Range  
Sept. 30, 2017 -0.1366
June 30, 2017 -0.0905
March 31, 2017 -0.2559
Dec. 31, 2016 0.5355
Sept. 30, 2016 0.1622
June 30, 2016 0.0978
March 31, 2016 -0.0156
Dec. 31, 2015 0.2851
Sept. 30, 2015 0.7187
June 30, 2015 -0.1157
March 31, 2015 0.1586
Dec. 31, 2014 -0.0462
Sept. 30, 2014 0.3457
June 30, 2014 -0.0673
March 31, 2014 0.3455
Dec. 31, 2013 0.0858
Sept. 30, 2013 -0.0453
June 30, 2013 -0.4242
March 31, 2013 0.4273
Dec. 31, 2012 -0.1518
Sept. 30, 2012 2.078
June 30, 2012 0.0018
March 31, 2012 -0.7686
Dec. 31, 2011 -0.3295
Sept. 30, 2011 24.46
   
June 30, 2011 -0.4432
March 31, 2011 -0.8315
Dec. 31, 2010 0.7409
Sept. 30, 2010 0.1862
June 30, 2010 0.2466
March 31, 2010 1.430
Dec. 31, 2009 0.7554
Sept. 30, 2009 -1.090
June 30, 2009 2.996
March 31, 2009 0.4975
Dec. 31, 2008 0.1864
Sept. 30, 2008 -0.3864
June 30, 2008 0.1937
March 31, 2008 -335.83
Dec. 31, 2007 1.160
Sept. 30, 2007 4.973
June 30, 2007 0.8109
March 31, 2007 1.077
Dec. 31, 2006 0.5954
Sept. 30, 2006 0.4819
June 30, 2006 0.4373
March 31, 2006 1.198
Dec. 31, 2005 0.8354
Sept. 30, 2005 1.728
June 30, 2005 0.7719

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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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UFI Ohlson Score (TTM) Benchmarks

Companies
Bassett Furniture Indus 0.2658
Ballantyne Strong -1.558
Commercial Vehicle Group -0.5719

UFI Ohlson Score (TTM) Range, Past 5 Years

Minimum -0.4242 Jun 2013
Maximum 0.7187 Sep 2015
Average 0.0907

UFI Ohlson Score (TTM) Excel Add-In Codes

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