AVTR vs BNGO

Avantor, Inc. vs Bionano Genomics, Inc. — Valuation Comparison 2026

AVTR

Laboratory Analytical Instruments
Avantor, Inc.
Quality
6.9
out of 10
Value Trap
25
LOW
Price
$9.12
Last close
Models
12/13
Active
VS

BNGO

Laboratory Analytical Instruments
Bionano Genomics, Inc.
Quality
6.0
out of 10
Value Trap
39
LOW
Price
$1.24
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType AVTR Fair ValueAVTR Upside BNGO Fair ValueBNGO Upside
Bayesian DCF Intrinsic $6.37 -30.1% $0.25 -79.6%
Earnings Power Value Intrinsic $17.03 +86.8%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $7.40 -18.8% $0.50 -59.6%
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 AVTR vs BNGO — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AVTR vs BNGO — Which Stock Is More Undervalued?

AVTR scores higher with a 6.9/10 quality rating vs BNGO's 6.0/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Avantor, Inc. (AVTR) and Bionano Genomics, Inc. (BNGO) 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.

AVTR currently trades at $9.12 with a QOC of 6.9/10, while BNGO trades at $1.24 with a QOC of 6.0/10.

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).