TNGX vs TNYA

Tango Therapeutics, Inc. vs Tenaya Therapeutics, Inc. — Valuation Comparison 2026

TNGX

Biotechnology
Tango Therapeutics, Inc.
Quality
7.0
out of 10
Value Trap
12
SAFE
Price
$20.00
Last close
Models
12/13
Active
VS

TNYA

Biotechnology
Tenaya Therapeutics, Inc.
Quality
4.1
out of 10
Value Trap
30
LOW
Price
$0.80
Last close
Models
8/13
Active

Model-by-Model Comparison

ModelType TNGX Fair ValueTNGX Upside TNYA Fair ValueTNYA Upside
Bayesian DCF Intrinsic $4.59 -77.1% $0.40 -50.0%
Earnings Power Value Intrinsic $0.90 -95.7%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $2.69 -86.6% $0.79 -1.2%
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 TNGX vs TNYA — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TNGX vs TNYA — Which Stock Is More Undervalued?

TNGX scores higher with a 7.0/10 quality rating vs TNYA's 4.1/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Tango Therapeutics, Inc. (TNGX) and Tenaya Therapeutics, Inc. (TNYA) 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.

TNGX currently trades at $20.00 with a QOC of 7.0/10, while TNYA trades at $0.80 with a QOC of 4.1/10.

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).