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Air Products and Chemicals, Inc (A1PD34) Fair Value & Analysis

Basic Materials · BR · Market cap R$321B

PriceR$364.32
Fair ValueR$50.60
Upside-86.1%
Quality91/100
Evidence: Low Range R$37.95 – R$63.26

Analysis

Air Products and Chemicals, Inc (A1PD34) currently trades at R$364.32, while our model-based Fair Value estimate is R$50.60 — implying the stock looks roughly 86.1% overvalued today. We read business quality at 91/100 (high quality), in the Basic Materials 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: low).

About the company

Air Products and Chemicals, Inc. provides atmospheric gases, process and specialty gases, equipment, and related services in the Americas, Asia, Europe, the Middle East, India, and internationally. The company produces atmospheric gases, including oxygen, nitrogen, and argon; process gases, such as hydrogen, helium, carbon dioxide, carbon monoxide, and syngas; and specialty gases for customers in various industries, including refining, chemical, metals, manufacturing, electronics, energy production, medical, food, chemical and petrochemical manufacturing, oil and gas recovery and processing, and steel and primary metals processing. It also designs and manufactures equipment for air separation, hydrocarbon recovery and purification, natural gas liquefaction, and liquid helium and liquid hydrogen transport and storage. Air Products and Chemicals, Inc. was founded in 1940 and is headquartered in Allentown, Pennsylvania.

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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.