Unifi (UFI)

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33.09 -1.58  -4.56% NYSE Apr 25, 16:59 Delayed 2m USD

Unifi Ohlson Score (TTM):

-0.4733 for Dec. 31, 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  
Dec. 31, 2017 -0.4733
Sept. 30, 2017 -0.1387
June 30, 2017 -0.0905
March 31, 2017 -0.2559
Dec. 31, 2016 0.5355
Sept. 30, 2016 0.1447
June 30, 2016 0.0767
March 31, 2016 -0.0333
Dec. 31, 2015 0.2622
Sept. 30, 2015 0.6969
June 30, 2015 -0.1349
March 31, 2015 0.1357
Dec. 31, 2014 -0.0677
Sept. 30, 2014 0.3206
June 30, 2014 -0.0885
March 31, 2014 0.3252
Dec. 31, 2013 0.0674
Sept. 30, 2013 -0.062
June 30, 2013 -0.4442
March 31, 2013 0.4089
Dec. 31, 2012 -0.168
Sept. 30, 2012 2.062
June 30, 2012 -0.0136
March 31, 2012 -0.7787
Dec. 31, 2011 -0.3407
   
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 0.5955
Sept. 30, 2006 0.4819
June 30, 2006 0.4373
March 31, 2006 1.198
Dec. 31, 2005 0.8355
Sept. 30, 2005 1.728

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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

Benchmarks
Bassett Furniture Indus -2.994
Ballantyne Strong 0.4916
Commercial Vehicle Group 1.884

UFI Ohlson Score (TTM) Range, Past 5 Years

Minimum -0.4733 Dec 2017
Maximum 0.6969 Sep 2015
Average 0.0408

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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