SRFM vs VTOL

Surf Air Mobility Inc. vs Bristow Group, Inc. — Valuation Comparison 2026

SRFM

Air Transportation, Nonscheduled
Surf Air Mobility Inc.
Quality
4.8
out of 10
Value Trap
18
SAFE
Price
$1.24
Last close
Models
6/13
Active
VS

VTOL

Air Transportation, Nonscheduled
Bristow Group, Inc.
Quality
7.5
out of 10
Value Trap
18
SAFE
Price
$41.64
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType SRFM Fair ValueSRFM Upside VTOL Fair ValueVTOL Upside
Bayesian DCF Intrinsic $0.20 -83.7% $8.92 -78.6%
Earnings Power Value Intrinsic $33.59 -19.3%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $2.58 +107.9% $60.91 +46.3%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
🔒

Unlock Full 13-Model Comparison

Access all valuation models for SRFM vs VTOL — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

SRFM vs VTOL — Which Stock Is More Undervalued?

VTOL scores higher with a 7.5/10 quality rating vs SRFM's 4.8/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing Surf Air Mobility Inc. (SRFM) and Bristow Group, Inc. (VTOL) 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.

SRFM currently trades at $1.24 with a QOC of 4.8/10, while VTOL trades at $41.64 with a QOC of 7.5/10.

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).