Is NDRA or NOTV more undervalued in 2026?

CirclFi compares ENDRA Life Sciences Inc. (NDRA) and Inotiv, Inc. (NOTV) using 13 institutional-grade valuation models. NDRA has a Quality of Company score of 3.6/10 while NOTV scores 5.5/10.

Which is a better buy — NDRA or NOTV?

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 NDRA and NOTV valuations compare?

NDRA at $5.52 and NOTV at $0.28 are compared across Bayesian DCF, EPV, EROIC Spread, First Chicago, Markov DDM, and 8 additional models.

NDRA vs NOTV Valuation Comparison 2026 — Intrinsic Value Analysis

NDRA

Diagnostics & Research

ENDRA Life Sciences Inc.

Quality

3.6

out of 10

Value Trap

LOW

Price

$5.52

Last close

Models

6/13

Active

NOTV

Diagnostics & Research

Inotiv, Inc.

Quality

5.5

out of 10

Value Trap

LOW

Price

$0.28

Last close

Models

1/13

Active

Model-by-Model Comparison

Model	Type	NDRA Fair Value	NDRA Upside	NOTV Fair Value	NOTV Upside
Bayesian DCF	Intrinsic	$1.48	-73.1%	—	—
First Chicago	Scenario	$•••.••	••.•%	$•••.••	••.•%
ML-RIV	Intrinsic	—	—	$1.14	+303.6%
Dynamic NAV	Asset-Based	$9.42	+70.7%	—	—
PWERM	Option-Based	$•••.••	••.•%	$•••.••	••.•%
Sentiment SOTP	Hybrid	$•••.••	••.•%	$•••.••	••.•%
CUCE Ensemble	Ensemble	$•••.••	••.•%	$•••.••	••.•%

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NDRA vs NOTV — Which Stock Is More Undervalued?

NOTV scores higher with a 5.5/10 quality rating vs NDRA's 3.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing ENDRA Life Sciences Inc. (NDRA) 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.

NDRA currently trades at $5.52 with a QOC of 3.6/10, 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).