Is ANNX or ANVS more undervalued in 2026?

CirclFi compares Annexon, Inc. (ANNX) and Annovis Bio, Inc. (ANVS) using 13 institutional-grade valuation models. ANNX has a Quality of Company score of 4.2/10 while ANVS scores 3.9/10.

Which is a better buy — ANNX or ANVS?

Compare intrinsic values from 13 independent models against current market prices. CirclFi also calculates Value Trap scores. This is not financial advice — conduct your own analysis.

How do ANNX and ANVS valuations compare?

ANNX at $5.37 and ANVS at $1.90 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

ANNX vs ANVS Valuation Comparison 2026 — Intrinsic Value Analysis

ANNX

Biotechnology

Annexon, Inc.

Quality

4.2

out of 10

Value Trap

LOW

Price

$5.37

Last close

Models

7/13

Active

ANVS

Biotechnology

Annovis Bio, Inc.

Quality

3.9

out of 10

Value Trap

SAFE

Price

$1.90

Last close

Models

7/13

Active

Model-by-Model Comparison

Model	Type	ANNX Fair Value	ANNX Upside	ANVS Fair Value	ANVS Upside
Bayesian DCF	Intrinsic	$1.97	-63.4%	$0.69	-63.6%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Dynamic NAV	Asset-Based	$2.02	-62.4%	$0.93	-51.1%
PWERM	Option-Based	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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ANNX vs ANVS — Which Stock Is More Undervalued?

ANNX scores higher with a 4.2/10 quality rating vs ANVS's 3.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Annexon, Inc. (ANNX) and Annovis Bio, Inc. (ANVS) 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.

ANNX currently trades at $5.37 with a QOC of 4.2/10, while ANVS trades at $1.90 with a QOC of 3.9/10.

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).