Factor Report

Data as of market close on 12/7/2021.

Validea's factor report analyzes any stock using the major investing factors, including value, quality, momentum, and low volatility.
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Latest Close: $47.65 Market Cap ($ mil): $1,907 Sector: Healthcare Industry: Biotechnology & Drugs 52 Week High: $146.16 52 Week Low: $6.70 Relative Strength: 98 Twelve Minus One Return: 1,102.5% Standard Deviation: 191.3%
PE Ratio: N/A Price/Sales: N/A Price/Book: 7.1 Price/Cash Flow: N/A EV/EBITDA: N/A Yield: N/A Shareholder Yield: -52.07% F Score: 4 G Score: 3
Return on Equity: -14.3% Return on Assets: -13.9% Return on Tangible Capital: -7.9% Return on Invested Capital: N/A WACC: 4.4% Debt/Equity: 0.00 LT EPS Growth: N/A LT Sales Growth: N/A Beta: 0.48
Cassava Sciences, Inc. is a clinical-stage biotechnology company. The Company is focused on developing the drug for the treatment of neurodegenerative diseases, such as Alzheimers disease. The Company's products include Simufilam and SavaDx. Its lead therapeutic product candidate, Simufilam, is a proprietary small molecule (oral) drug. Simufilam targets an altered form of a protein called filamin A (FLNA) in the Alzheimers brain. The SavaDx, is an early-stage program focused on detecting the presence of Alzheimers disease from a small sample of blood, possibly years before the overt appearance of clinical symptoms. It is also developing SavaDx is a quantitative blood-based investigational biomarker/diagnostic to detect and monitor Alzheimer's disease. The Company's scientific approach for the treatment of Alzheimers disease seeks to simultaneously progress both neurodegeneration and neuroinflammation.

Factor Profile

SAVA's exposure to the major factors (100 is highest).

Comparable Stocks

Stocks with the closest factor profiles to SAVA.

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Optimal portfolios presented on Validea.com represent the rebalancing period that has led to the best historical performance for each of our equity models. Each optimal portfolio was determined after the fact with performance information that was not available at portfolio inception. As a result, an investor could not have invested in the optimal portfolio since its inception. Optimal portfolios are presented to allow investors to quickly determine the portfolio size and rebalancing period that has performed best for each of our models in our historical testing.

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