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22.58 +0.92  +4.25% NYSE Dec 14, 20:00 Delayed 2m USD

Twitter Ohlson Score (TTM):

0.4297 for Sept. 30, 2017
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Twitter Historical Ohlson Score (TTM) Data

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Export Data Date Range:
Data for this Date Range  
Sept. 30, 2017 0.4297
June 30, 2017 -2.103
March 31, 2017 -0.9474
Dec. 31, 2016 -1.931
Sept. 30, 2016 -1.830
June 30, 2016 -1.988
March 31, 2016 -1.819
Dec. 31, 2015 -1.521
   
Sept. 30, 2015 -1.756
June 30, 2015 -1.657
March 31, 2015 -1.737
Dec. 31, 2014 -1.398
Sept. 30, 2014 -1.436
June 30, 2014 -2.412
March 31, 2014 -1.204

There is no data for the selected date range.

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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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TWTR Ohlson Score (TTM) Benchmarks

Benchmarks
Snap -3.713
Facebook -3.921
Weibo -1.162

TWTR Ohlson Score (TTM) Range, Past 5 Years

Minimum -2.412 Jun 2014
Maximum 0.4297 Sep 2017
Average -1.554

TWTR Ohlson Score (TTM) Excel Add-In Codes

  • Metric Code: ohlson_score
  • Latest data point: =YCP("TWTR", "ohlson_score")
  • Last 5 data points: =YCS("TWTR", "ohlson_score", -4)

To find the codes for any of our financial metrics, see our Complete Reference of Metric Codes.

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