VEL vs WYFI

Velocity Financial, Inc. vs WhiteFiber, Inc. — Valuation Comparison 2026

VEL

Finance Services
Velocity Financial, Inc.
Quality
9.3
out of 10
Value Trap
18
SAFE
Price
$17.50
Last close
Models
12/13
Active
VS

WYFI

Finance Services
WhiteFiber, Inc.
Quality
5.2
out of 10
Value Trap
Price
$29.74
Last close
Models
11/13
Active

Model-by-Model Comparison

ModelType VEL Fair ValueVEL Upside WYFI Fair ValueWYFI Upside
Bayesian DCF Intrinsic $5.66 -67.7% $9.64 -67.6%
Earnings Power Value Intrinsic $19.44 +11.1% $6.83 -59.0%
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 VEL vs WYFI — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

VEL vs WYFI — Which Stock Is More Undervalued?

VEL scores higher with a 9.3/10 quality rating vs WYFI's 5.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Velocity Financial, Inc. (VEL) and WhiteFiber, Inc. (WYFI) 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.

VEL currently trades at $17.50 with a QOC of 9.3/10, while WYFI trades at $29.74 with a QOC of 5.2/10.

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).