GXAI vs RBLX

Gaxos.ai Inc. vs Roblox Corporation — Valuation Comparison 2026

GXAI

Electronic Gaming & Multimedia
Gaxos.ai Inc.
Quality
5.7
out of 10
Value Trap
12
SAFE
Price
$1.19
Last close
Models
9/13
Active
VS

RBLX

Electronic Gaming & Multimedia
Roblox Corporation
Quality
4.4
out of 10
Value Trap
36
LOW
Price
$46.83
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType GXAI Fair ValueGXAI Upside RBLX Fair ValueRBLX Upside
Bayesian DCF Intrinsic $0.42 -64.7% $16.08 -65.7%
Earnings Power Value Intrinsic $26.36 -53.0%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $0.11 -91.0% $2.42 -94.6%
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 GXAI vs RBLX — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

GXAI vs RBLX — Which Stock Is More Undervalued?

GXAI scores higher with a 5.7/10 quality rating vs RBLX's 4.4/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Gaxos.ai Inc. (GXAI) and Roblox Corporation (RBLX) 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.

GXAI currently trades at $1.19 with a QOC of 5.7/10, while RBLX trades at $46.83 with a QOC of 4.4/10.

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).