POCI vs VANI

Precision Optics Corporation, I vs Vivani Medical, Inc. — Valuation Comparison 2026

POCI

Electromedical & Electrotherapeutic Apparatus
Precision Optics Corporation, I
Quality
5.9
out of 10
Value Trap
29
LOW
Price
$5.44
Last close
Models
11/13
Active
VS

VANI

Electromedical & Electrotherapeutic Apparatus
Vivani Medical, Inc.
Quality
4.4
out of 10
Value Trap
24
SAFE
Price
$1.32
Last close
Models
7/13
Active

Model-by-Model Comparison

ModelType POCI Fair ValuePOCI Upside VANI Fair ValueVANI Upside
Bayesian DCF Intrinsic $1.82 -66.5% $0.35 -73.2%
Earnings Power Value Intrinsic $0.53 -87.5%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $1.06 -80.5% $0.43 -67.3%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for POCI vs VANI — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

POCI vs VANI — Which Stock Is More Undervalued?

POCI scores higher with a 5.9/10 quality rating vs VANI's 4.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Precision Optics Corporation, I (POCI) and Vivani Medical, Inc. (VANI) 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.

POCI currently trades at $5.44 with a QOC of 5.9/10, while VANI trades at $1.32 with a QOC of 4.4/10.

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).