Biotechnology Companies By Zscore
LargestBiggest EarnersMost ProfitableMost LiquidHighly LeveragedTop DividendsCapital-HeavyHighest ValuationLargest Workforce
Z Score
Z Score | Efficiency | Market Risk | Exp Return | ||||
---|---|---|---|---|---|---|---|
1 | FBIOP | Fortress Biotech Pref | (0.12) | 2.87 | (0.34) | ||
2 | MBIO | Mustang Bio | (0.09) | 5.99 | (0.55) | ||
3 | MBRX | Moleculin Biotech | 0.04 | 5.59 | 0.24 | ||
4 | 488401AD2 | KMPR 38 23 FEB 32 | (0.08) | 1.65 | (0.13) | ||
5 | MCRB | Seres Therapeutics | 0.07 | 6.66 | 0.45 | ||
6 | 037411AR6 | APACHE P 6 | 0.01 | 0.81 | 0.01 | ||
7 | MDGL | Madrigal Pharmaceuticals | 0.12 | 4.62 | 0.55 | ||
8 | EQ | Equillium | (0.03) | 7.69 | (0.21) | ||
9 | KA | Kineta Inc | (0.02) | 8.31 | (0.13) | ||
10 | ME | 23Andme Holding Co | (0.12) | 6.61 | (0.82) | ||
11 | MDXG | MiMedx Group | 0.14 | 4.33 | 0.62 | ||
12 | MDXH | MDxHealth SA ADR | (0.13) | 3.84 | (0.52) | ||
13 | 488401AC4 | US488401AC40 | (0.14) | 1.15 | (0.16) | ||
14 | MEIP | MEI Pharma | (0.07) | 2.55 | (0.18) | ||
15 | MESO | Mesoblast | 0.19 | 5.10 | 0.96 | ||
16 | 88032WAN6 | TENCNT 3975 11 APR 29 | (0.49) | 0.68 | (0.33) | ||
17 | 488401AB6 | KEMPER P DEL | 0.00 | 0.27 | 0.00 | ||
18 | DMAC | DiaMedica Therapeutics | 0.15 | 3.28 | 0.49 | ||
19 | 090572AR9 | BIO 33 15 MAR 27 | (0.12) | 0.42 | (0.05) | ||
20 | MGNX | MacroGenics | 0.04 | 4.33 | 0.17 |
The analysis above is based on a 90-day investment horizon and a default level of risk. Use the Portfolio Analyzer to fine-tune all your assumptions. Check your current assumptions here.
Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University.. To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.