CF vs CTVA

CF Industries Holdings, Inc. vs Corteva, Inc. — Valuation Comparison 2026

CF

Agricultural Inputs
CF Industries Holdings, Inc.
Quality
10.0
out of 10
Value Trap
12
SAFE
Price
$116.50
Last close
Models
12/13
Active
VS

CTVA

Agricultural Inputs
Corteva, Inc.
Quality
8.6
out of 10
Value Trap
12
SAFE
Price
$80.60
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType CF Fair ValueCF Upside CTVA Fair ValueCTVA Upside
Bayesian DCF Intrinsic $277.21 +138.0% $33.34 -58.6%
Earnings Power Value Intrinsic $113.05 -3.0% $36.86 -54.3%
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 CF vs CTVA — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CF vs CTVA — Which Stock Is More Undervalued?

CF scores higher with a 10.0/10 quality rating vs CTVA's 8.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing CF Industries Holdings, Inc. (CF) and Corteva, Inc. (CTVA) 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.

CF currently trades at $116.50 with a QOC of 10.0/10, while CTVA trades at $80.60 with a QOC of 8.6/10.

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).