Is FRT stock overvalued right now?

Based on our discounted cash flow and relative valuation models, FRT appears to trade above fair value by approximately 39.7%. This suggests the market may be pricing in elevated growth expectations or sentiment premiums.

What is FRT fair value based on current fundamentals?

Our fair value estimate for FRT is $68.67, derived from discounted cash flow, dividend discount, and relative valuation multiples. The estimate assumes a discount rate of 9.0% and terminal growth of 2.5%.

How risky is FRT compared with other stocks?

FRT carries a beta of 0.92 is near market average. Investors should weigh macro exposure against their own risk tolerance.

Is FRT still growing?

Latest trailing metrics show revenue growth of 7.2% and earnings contraction of 45.6%. Profit margins are 32.7%.

What do analysts think about FRT?

Analyst consensus target is $133.16, implying 16.9% upside. The street recommendation is "buy".

Does FRT pay a dividend?

Yes. FRT currently offers a dividend yield of 4.0%.

What could change the investment case for FRT?

Key catalysts include Real Estate sector dynamics, interest rate shifts, and company-specific earnings surprises. Monitor macro risk scores and analyst estimate revisions for early signals.

Real EstateUpdated·Data: Yahoo Finance, SEC EDGAR·Data delayed ~5 min

Deep Dive FRT Institutional Favorite Win Rate result Beta

NYQ · Real Estate · REIT - Retail

$113.93

-0.60 (-0.52%)

Stock valuation guide Macro risk explained guide

About the Author

Phasakorn Traklang (Peach) — Founder

Phasakorn Traklang (Peach) is the founder of QuantSoar, bringing expertise in SEO, web development, and technical analytics to build an AI-powered investment platform accessible to retail investors worldwide.

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Investment Disclaimer: QuantSoar is for informational purposes only. We do not provide personalized investment advice. Always conduct your own research or consult a financial advisor. SEC

Data: Yahoo Finance / SEC EDGAR / Alpha Vantage / Finnhub. AI outputs verified against source data.