TCRT vs TECH

Alaunos Therapeutics, Inc. vs Bio-Techne Corp — Valuation Comparison 2026

TCRT

Biotechnology
Alaunos Therapeutics, Inc.
Quality
4.4
out of 10
Value Trap
33
LOW
Price
$3.06
Last close
Models
8/13
Active
VS

TECH

Biotechnology
Bio-Techne Corp
Quality
7.2
out of 10
Value Trap
24
SAFE
Price
$50.84
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType TCRT Fair ValueTCRT Upside TECH Fair ValueTECH Upside
Bayesian DCF Intrinsic $0.90 -70.7% $29.59 -41.8%
Earnings Power Value Intrinsic $12.26 -75.9%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $0.09 -96.4% $24.42 -52.0%
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 TCRT vs TECH — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TCRT vs TECH — Which Stock Is More Undervalued?

TECH scores higher with a 7.2/10 quality rating vs TCRT's 4.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Alaunos Therapeutics, Inc. (TCRT) and Bio-Techne Corp (TECH) 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.

TCRT currently trades at $3.06 with a QOC of 4.4/10, while TECH trades at $50.84 with a QOC of 7.2/10.

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).