QGEN vs QUCY

Qiagen N.V. vs Quantum Cyber N.V. — Valuation Comparison 2026

QGEN

Diagnostics & Research
Qiagen N.V.
Quality
2.4
out of 10
Value Trap
Price
$36.64
Last close
Models
13/13
Active
VS

QUCY

Diagnostics & Research
Quantum Cyber N.V.
Quality
1.9
out of 10
Value Trap
Price
$2.98
Last close
Models
10/13
Active

Model-by-Model Comparison

ModelType QGEN Fair ValueQGEN Upside QUCY Fair ValueQUCY Upside
Bayesian DCF Intrinsic $15.62 -57.4% $0.79 -73.5%
Earnings Power Value Intrinsic $20.41 -40.7% $0.72 +75.8%
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 QGEN vs QUCY — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

QGEN vs QUCY — Which Stock Is More Undervalued?

QGEN scores higher with a 2.4/10 quality rating vs QUCY's 1.9/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Qiagen N.V. (QGEN) and Quantum Cyber N.V. (QUCY) 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.

QGEN currently trades at $36.64 with a QOC of 2.4/10, while QUCY trades at $2.98 with a QOC of 1.9/10.

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).