Fairvalue-Calculator Fairvalue-Calculator
EN DE

Federal National Mortgage Association (FNMAM) Fair Value & Analysis

Financial Services · US · Market cap $13.1B

Price$16.38
Fair Value$1.98
Upside-87.9%
Quality95/100
Evidence: High Range $1.48 – $2.47

Analysis

Federal National Mortgage Association (FNMAM) currently trades at $16.38, while our model-based Fair Value estimate is $1.98 — implying the stock looks roughly 87.9% overvalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).

About the company

Federal National Mortgage Association provides financing solutions for residential mortgages in the United States. The company operates in two segments, Single-Family and Multifamily. It offers mortgage acquisitions and securitizations; and credit risk and loss management services. The company also engages in mortgage securitization transactions, including lender swap, portfolio securitization, and structured securitization transactions; and credit risk and loss management services. Federal National Mortgage Association was incorporated in 1938 and is based in Washington, District Of Columbia.

Open the full interactive analysis →

Similar stocks

Federal Home Loan Mortgage Corporation (FMCCT) +86% Rocket Companies, Inc (RKT) -71% Bajaj Housing Finance Limited (BAJAJHFL) -36% PennyMac Financial Services, Inc (PFSI) +1% OSB Group (OSBGF) +100% Walker & Dunlop, Inc (WD) -39%

How we calculate Fair Value

Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.

Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.