RXST vs STAA

RxSight, Inc. vs STAAR Surgical Company — Valuation Comparison 2026

RXST

Ophthalmic Goods
RxSight, Inc.
Quality
6.8
out of 10
Value Trap
36
LOW
Price
$5.33
Last close
Models
11/13
Active
VS

STAA

Ophthalmic Goods
STAAR Surgical Company
Quality
7.2
out of 10
Value Trap
6
SAFE
Price
$29.89
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType RXST Fair ValueRXST Upside STAA Fair ValueSTAA Upside
Bayesian DCF Intrinsic $1.82 -65.9% $3.33 -88.9%
Earnings Power Value Intrinsic $6.07 -18.0% $5.35 -80.3%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
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 RXST vs STAA — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

RXST vs STAA — Which Stock Is More Undervalued?

STAA scores higher with a 7.2/10 quality rating vs RXST's 6.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing RxSight, Inc. (RXST) and STAAR Surgical Company (STAA) 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.

RXST currently trades at $5.33 with a QOC of 6.8/10, while STAA trades at $29.89 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).