CDNA vs CRL

CareDx, Inc. vs Charles River Laboratories Inte — Valuation Comparison 2026

CDNA

Diagnostics & Research
CareDx, Inc.
Quality
7.2
out of 10
Value Trap
18
SAFE
Price
$22.70
Last close
Models
11/13
Active
VS

CRL

Diagnostics & Research
Charles River Laboratories Inte
Quality
7.8
out of 10
Value Trap
13
SAFE
Price
$181.34
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType CDNA Fair ValueCDNA Upside CRL Fair ValueCRL Upside
Bayesian DCF Intrinsic $2.48 -89.1% $116.83 -35.6%
Earnings Power Value Intrinsic $154.38 -14.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $11.19 -50.7% $128.94 -28.9%
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 CDNA vs CRL — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

CDNA vs CRL — Which Stock Is More Undervalued?

CRL scores higher with a 7.8/10 quality rating vs CDNA's 7.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing CareDx, Inc. (CDNA) and Charles River Laboratories Inte (CRL) 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.

CDNA currently trades at $22.70 with a QOC of 7.2/10, while CRL trades at $181.34 with a QOC of 7.8/10.

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).