Fairvalue-Calculator Fairvalue-Calculator

Quanex Building Products Corporation (NX) Fair Value & Analysis

Industrials · US · Market cap $818M

Price$16.56
Fair Value$16.71
Upside+0.9%
Quality95/100
Evidence: Medium Range $8.15 – $28.22

Analysis

Quanex Building Products Corporation (NX) currently trades at $16.56, while our model-based Fair Value estimate is $16.71 — implying the stock looks roughly 0.9% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.

About the company

Quanex Building Products Corporation, together with its subsidiaries, manufactures and distributes components for original equipment manufacturers (OEM) in the building products industry in the United States, Europe, Canada, Asia, and internationally. It offers energy-efficient flexible insulating glass spacers, extruded vinyl profiles, window and door screens, precision-formed metal and wood products, window and door seals, and window and door hardware. The company also solar panel sealants, trim moldings, vinyl decking, water retention barriers, conservatory roof components, and commercial access solutions. It sells its products through sales representatives, direct sales force, distributors, and independent sales agents. Quanex Building Products Corporation was founded in 1927 and is based in Houston, Texas.

Open the full interactive analysis →

Similar stocks

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.