FBIN vs JCI

Fortune Brands Innovations, Inc vs Johnson Controls International — Valuation Comparison 2026

FBIN

Building Products & Equipment
Fortune Brands Innovations, Inc
Quality
7.1
out of 10
Value Trap
19
SAFE
Price
$39.39
Last close
Models
12/13
Active
VS

JCI

Building Products & Equipment
Johnson Controls International
Quality
8.5
out of 10
Value Trap
12
SAFE
Price
$136.15
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType FBIN Fair ValueFBIN Upside JCI Fair ValueJCI Upside
Bayesian DCF Intrinsic $13.54 -65.6% $35.09 -74.2%
Earnings Power Value Intrinsic $3.52 -91.1% $15.34 -88.7%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 FBIN vs JCI — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

FBIN vs JCI — Which Stock Is More Undervalued?

JCI scores higher with a 8.5/10 quality rating vs FBIN's 7.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Fortune Brands Innovations, Inc (FBIN) and Johnson Controls International (JCI) 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.

FBIN currently trades at $39.39 with a QOC of 7.1/10, while JCI trades at $136.15 with a QOC of 8.5/10.

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).