AVAV vs DPRO

AeroVironment, Inc. vs Draganfly Inc. — Valuation Comparison 2026

AVAV

Aircraft
AeroVironment, Inc.
Quality
8.0
out of 10
Value Trap
25
LOW
Price
$207.24
Last close
Models
12/13
Active
VS

DPRO

Aircraft
Draganfly Inc.
Quality
5.2
out of 10
Value Trap
6
SAFE
Price
$7.47
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType AVAV Fair ValueAVAV Upside DPRO Fair ValueDPRO Upside
Bayesian DCF Intrinsic $31.82 -84.6% $2.33 -68.8%
Earnings Power Value Intrinsic $21.18 -88.5% $1.55 -70.8%
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 $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

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

Access Full Analysis — From $27/mo →

AVAV vs DPRO — Which Stock Is More Undervalued?

AVAV scores higher with a 8.0/10 quality rating vs DPRO's 5.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing AeroVironment, Inc. (AVAV) and Draganfly Inc. (DPRO) 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.

AVAV currently trades at $207.24 with a QOC of 8.0/10, while DPRO trades at $7.47 with a QOC of 5.2/10.

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).