TXT vs YSS

Textron Inc. vs York Space Systems Inc. — Valuation Comparison 2026

TXT

Aerospace & Defense
Textron Inc.
Quality
8.9
out of 10
Value Trap
Price
$91.92
Last close
Models
13/13
Active
VS

YSS

Aerospace & Defense
York Space Systems Inc.
Quality
1.7
out of 10
Value Trap
Price
$31.99
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType TXT Fair ValueTXT Upside YSS Fair ValueYSS Upside
Bayesian DCF Intrinsic $54.83 -40.3% $9.44 -70.5%
Earnings Power Value Intrinsic $61.67 -32.9% $13.51 -56.5%
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 TXT vs YSS — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

TXT vs YSS — Which Stock Is More Undervalued?

TXT scores higher with a 8.9/10 quality rating vs YSS's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Textron Inc. (TXT) and York Space Systems Inc. (YSS) 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.

TXT currently trades at $91.92 with a QOC of 8.9/10, while YSS trades at $31.99 with a QOC of 1.7/10.

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).