ATRO vs AVAV

Astronics Corporation vs AeroVironment, Inc. — Valuation Comparison 2026

ATRO

Aerospace & Defense
Astronics Corporation
Quality
8.8
out of 10
Value Trap
18
SAFE
Price
$88.17
Last close
Models
12/13
Active
VS

AVAV

Aerospace & Defense
AeroVironment, Inc.
Quality
8.0
out of 10
Value Trap
25
LOW
Price
$214.39
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType ATRO Fair ValueATRO Upside AVAV Fair ValueAVAV Upside
Bayesian DCF Intrinsic $4.69 -94.2% $48.46 -77.4%
Earnings Power Value Intrinsic $0.82 -99.0% $21.18 -88.5%
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 ATRO vs AVAV — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ATRO vs AVAV — Which Stock Is More Undervalued?

ATRO scores higher with a 8.8/10 quality rating vs AVAV's 8.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Astronics Corporation (ATRO) and AeroVironment, Inc. (AVAV) 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.

ATRO currently trades at $88.17 with a QOC of 8.8/10, while AVAV trades at $214.39 with a QOC of 8.0/10.

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).