AQB vs DOLE

AquaBounty Technologies, Inc. vs Dole plc — Valuation Comparison 2026

AQB

Farm Products
AquaBounty Technologies, Inc.
Quality
4.0
out of 10
Value Trap
12
SAFE
Price
$1.04
Last close
Models
6/13
Active
VS

DOLE

Farm Products
Dole plc
Quality
8.3
out of 10
Value Trap
Price
$14.42
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType AQB Fair ValueAQB Upside DOLE Fair ValueDOLE Upside
Bayesian DCF Intrinsic $6.76 -53.1%
Earnings Power Value Intrinsic $11.46 -20.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $1.85 +78.2%
PWERM Option-Based $2.79 +167.8% $30.59 +112.1%
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 AQB vs DOLE — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AQB vs DOLE — Which Stock Is More Undervalued?

DOLE scores higher with a 8.3/10 quality rating vs AQB's 4.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing AquaBounty Technologies, Inc. (AQB) and Dole plc (DOLE) 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.

AQB currently trades at $1.04 with a QOC of 4.0/10, while DOLE trades at $14.42 with a QOC of 8.3/10.

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).