Is VERU or VOR more undervalued in 2026?

CirclFi compares Veru Inc. (VERU) and Vor Biopharma Inc. (VOR) using 13 institutional-grade valuation models. VERU has a Quality of Company score of 4.6/10 while VOR scores 3.5/10.

Which is a better buy — VERU or VOR?

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 VERU and VOR valuations compare?

VERU at $2.32 and VOR at $15.01 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

VERU vs VOR Valuation Comparison 2026 — Intrinsic Value Analysis

VERU

Biotechnology

Veru Inc.

Quality

4.6

out of 10

Value Trap

LOW

Price

$2.32

Last close

Models

7/13

Active

VOR

Biotechnology

Vor Biopharma Inc.

Quality

3.5

out of 10

Value Trap

LOW

Price

$15.01

Last close

Models

7/13

Active

Model-by-Model Comparison

Model	Type	VERU Fair Value	VERU Upside	VOR Fair Value	VOR Upside
Bayesian DCF	Intrinsic	$1.49	-35.8%	$5.72	-61.9%
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	$•••.••	••.•%	$•••.••	••.•%
Dynamic NAV	Asset-Based	$3.71	+60.1%	$2.73	-80.8%
PWERM	Option-Based	$2.56	+10.1%	$25.80	+71.9%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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VERU vs VOR — Which Stock Is More Undervalued?

VERU scores higher with a 4.6/10 quality rating vs VOR's 3.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Veru Inc. (VERU) and Vor Biopharma Inc. (VOR) 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.

VERU currently trades at $2.32 with a QOC of 4.6/10, while VOR trades at $15.01 with a QOC of 3.5/10.

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).