ADPT vs ADVB

Adaptive Biotechnologies Corpor vs Advanced Biomed Inc. — Valuation Comparison 2026

ADPT

Diagnostics & Research
Adaptive Biotechnologies Corpor
Quality
7.6
out of 10
Value Trap
25
LOW
Price
$15.19
Last close
Models
13/13
Active
VS

ADVB

Diagnostics & Research
Advanced Biomed Inc.
Quality
5.7
out of 10
Value Trap
Price
$3.91
Last close
Models
5/13
Active

Model-by-Model Comparison

ModelType ADPT Fair ValueADPT Upside ADVB Fair ValueADVB Upside
Bayesian DCF Intrinsic $2.98 -80.4% $20.02 +411.9%
Earnings Power Value Intrinsic $2.29 -83.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $0.89 -94.1% $3.46 -11.4%
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 ADPT vs ADVB — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

ADPT vs ADVB — Which Stock Is More Undervalued?

ADPT scores higher with a 7.6/10 quality rating vs ADVB's 5.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Adaptive Biotechnologies Corpor (ADPT) and Advanced Biomed Inc. (ADVB) 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.

ADPT currently trades at $15.19 with a QOC of 7.6/10, while ADVB trades at $3.91 with a QOC of 5.7/10.

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).