AFRI vs AGRO

Forafric Global PLC vs Adecoagro S.A. — Valuation Comparison 2026

AFRI

Farm Products
Forafric Global PLC
Quality
2.1
out of 10
Value Trap
Price
$10.17
Last close
Models
11/13
Active
VS

AGRO

Farm Products
Adecoagro S.A.
Quality
2.1
out of 10
Value Trap
Price
$12.13
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType AFRI Fair ValueAFRI Upside AGRO Fair ValueAGRO Upside
Bayesian DCF Intrinsic $2.69 -73.5% $3.42 -71.8%
EROIC Spread Intrinsic $1.78 -82.5% $1.29 -90.7%
First Chicago Scenario $0.77 -92.3% $30.73 +122.3%
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 AFRI vs AGRO — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AFRI vs AGRO — Which Stock Is More Undervalued?

AGRO scores higher with a 2.1/10 quality rating vs AFRI's 2.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Forafric Global PLC (AFRI) and Adecoagro S.A. (AGRO) 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.

AFRI currently trades at $10.17 with a QOC of 2.1/10, while AGRO trades at $12.13 with a QOC of 2.1/10.

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).