NEO vs NOTV

NeoGenomics, Inc. vs Inotiv, Inc. — Valuation Comparison 2026

NEO

Diagnostics & Research
NeoGenomics, Inc.
Quality
6.8
out of 10
Value Trap
25
LOW
Price
$10.19
Last close
Models
12/13
Active
VS

NOTV

Diagnostics & Research
Inotiv, Inc.
Quality
5.5
out of 10
Value Trap
29
LOW
Price
$0.28
Last close
Models
1/13
Active

Model-by-Model Comparison

ModelType NEO Fair ValueNEO Upside NOTV Fair ValueNOTV Upside
Bayesian DCF Intrinsic $0.46 -95.5%
Earnings Power Value Intrinsic $5.57 -41.0%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $2.08 -79.6% $1.14 +303.6%
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 NEO vs NOTV — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

NEO vs NOTV — Which Stock Is More Undervalued?

NEO scores higher with a 6.8/10 quality rating vs NOTV's 5.5/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing NeoGenomics, Inc. (NEO) and Inotiv, Inc. (NOTV) 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.

NEO currently trades at $10.19 with a QOC of 6.8/10, while NOTV trades at $0.28 with a QOC of 5.5/10.

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).