APD vs LIN

Air Products and Chemicals, Inc vs Linde plc — Valuation Comparison 2026

APD

Industrial Inorganic Chemicals
Air Products and Chemicals, Inc
Quality
8.1
out of 10
Value Trap
21
SAFE
Price
$278.62
Last close
Models
11/13
Active
VS

LIN

Industrial Inorganic Chemicals
Linde plc
Quality
8.1
out of 10
Value Trap
18
SAFE
Price
$497.69
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType APD Fair ValueAPD Upside LIN Fair ValueLIN Upside
Bayesian DCF Intrinsic $230.39 -53.7%
Earnings Power Value Intrinsic $163.63 -41.3% $101.89 -79.5%
EROIC Spread Intrinsic $99.56 -64.3% $81.19 -83.7%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for APD vs LIN — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

APD vs LIN — Which Stock Is More Undervalued?

LIN scores higher with a 8.1/10 quality rating vs APD's 8.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Air Products and Chemicals, Inc (APD) and Linde plc (LIN) across 13 institutional-grade valuation models reveals how each company's intrinsic value stacks up against its market price. CirclFi's engine processes SEC EDGAR 10-K and 10-Q filings, FRED macroeconomic data, and GDELT news sentiment to generate independent fair value estimates daily.

APD currently trades at $278.62 with a QOC of 8.1/10, while LIN trades at $497.69 with a QOC of 8.1/10.

Both companies are analyzed with models spanning intrinsic (Bayesian DCF, EPV), scenario-based (First Chicago), regime-switching (Markov DDM, RCMH-DCF), machine learning (ML-RIV, FTNN Topology), and ensemble methods (CUCE).