Factor Report

Data as of market close on 10/20/2021.

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: $37.70 Market Cap ($ mil): $1,053 Sector: Basic Materials Industry: Misc. Fabricated Products 52 Week High: $59.80 52 Week Low: $33.93 Relative Strength: 19 Twelve Minus One Return: -18.5% Standard Deviation: 45.1%
PE Ratio: N/A Price/Sales: 1.4 Price/Book: 1.3 Price/Cash Flow: N/A EV/EBITDA: 11.97 Yield: 2.12% Shareholder Yield: 1.32% F Score: 4 G Score: 2
Return on Equity: -6.3% Return on Assets: -3.6% Return on Tangible Capital: 7.6% Return on Invested Capital: N/A WACC: 7.4% Debt/Equity: 0.24 LT EPS Growth: N/A LT Sales Growth: -6.2% Beta: 1.35
Kaman Corporation conducts business in the aerospace, medical and industrial markets. The Company produces and markets aircraft bearings and components; super precision, miniature ball bearings; spring energized seals, springs and contacts; complex metallic and composite aerostructures for commercial, military and general aviation fixed and rotary wing aircraft; and safe and arming solutions for missile and bomb systems for the United States and allied militaries. The Company also manufactures and supports its K-MAX manned and unmanned medium-to-heavy lift helicopters and restores, modifies and supports its SH-2G Super Seasprite maritime helicopters. The Company's brands include KAflex, KAron and K-MAX. Its operations are conducted throughout the United States, as well as in facilities located in Germany, the Czech Republic, Mexico, Singapore, the Netherlands, Switzerland and Hong Kong. Additionally, the Company maintains an investment in a joint venture in India.

Factor Profile

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

Comparable Stocks

Stocks with the closest factor profiles to KAMN.

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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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