CBLL vs ELMD

CeriBell, Inc. vs Electromed, Inc. — Valuation Comparison 2026

CBLL

Electromedical & Electrotherapeutic Apparatus
CeriBell, Inc.
Quality
6.8
out of 10
Value Trap
12
SAFE
Price
$18.45
Last close
Models
11/13
Active
VS

ELMD

Electromedical & Electrotherapeutic Apparatus
Electromed, Inc.
Quality
9.7
out of 10
Value Trap
22
SAFE
Price
$37.72
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType CBLL Fair ValueCBLL Upside ELMD Fair ValueELMD Upside
Bayesian DCF Intrinsic $5.15 -72.1% $10.80 -71.4%
Earnings Power Value Intrinsic $3.50 -82.9% $8.45 -77.6%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 CBLL vs ELMD — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CBLL vs ELMD — Which Stock Is More Undervalued?

ELMD scores higher with a 9.7/10 quality rating vs CBLL's 6.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing CeriBell, Inc. (CBLL) and Electromed, Inc. (ELMD) 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.

CBLL currently trades at $18.45 with a QOC of 6.8/10, while ELMD trades at $37.72 with a QOC of 9.7/10.

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).