Schlumberger Altman Z-Score (TTM)
Schlumberger Altman Z-Score (TTM) Chart
Schlumberger Historical Altman Z-Score (TTM) Data
|Data for this Date Range|
|Sept. 30, 2016||Upgrade|
|June 30, 2016||Upgrade|
|March 31, 2016||Upgrade|
|Dec. 31, 2015||Upgrade|
|Sept. 30, 2015||Upgrade|
|June 30, 2015||Upgrade|
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|Dec. 31, 2014||Upgrade|
|Sept. 30, 2014||Upgrade|
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|Dec. 31, 2013||Upgrade|
|Sept. 30, 2013||Upgrade|
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About Altman Z-Score
CAUTION: The Altman Z-Score is meant to be applied only to manufacturing firms that are near bankruptcy. It was not based on a sample including non-manufacturing firms (service firms, banks, etc.). Use it at your own risk with those companies, but beware that bankruptcy probabilities may be misstated.
The Altman Z-Score helps investors to gauge the probability of a company going bankrupt. Generally, firms with a score above 3.00 have a low probability of bankruptcy, and those with a Z-Score of less than 1.81 have a relatively high probability of bankruptcy.
Note that this is a probabilistic model, so it will not classify perfectly.
The score was first published in a 1968 paper by Edward Altman titled "Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy."
Altman re-tested the model in a 2000 paper titled "Predicting financial distress of companies: Revisiting the Z-score and Zeta models". The paper showed that the model still had utility for looking at manufacturers, though the number of misclassifications did increase over time.
SLB Altman Z-Score (TTM) Benchmarks
SLB Altman Z-Score (TTM) Range, Past 5 Years
SLB Altman Z-Score (TTM) Excel Add-In Codes
- Metric Code: altman_z_score
- Latest data point: =YCP("SLB", "altman_z_score")
- Last 5 data points: =YCS("SLB", "altman_z_score", -4)
To find the codes for any of our financial metrics, see our Complete Reference of Metric Codes.
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