PJT vs RILYN

PJT Partners Inc. vs BRC Group Holdings, Inc. - 6.50 — Valuation Comparison 2026

PJT

Investment Advice
PJT Partners Inc.
Quality
9.3
out of 10
Value Trap
18
SAFE
Price
$152.90
Last close
Models
13/13
Active
VS

RILYN

Investment Advice
BRC Group Holdings, Inc. - 6.50
Quality
5.3
out of 10
Value Trap
42
WARN
Price
$25.00
Last close
Models
9/13
Active

Model-by-Model Comparison

ModelType PJT Fair ValuePJT Upside RILYN Fair ValueRILYN Upside
Bayesian DCF Intrinsic $148.07 -3.2%
Earnings Power Value Intrinsic $37.92 -75.2% $25.49 +3.1%
EROIC Spread Intrinsic $20.05 -86.9% $6.26 -74.7%
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 PJT vs RILYN — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

PJT vs RILYN — Which Stock Is More Undervalued?

PJT scores higher with a 9.3/10 quality rating vs RILYN's 5.3/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing PJT Partners Inc. (PJT) and BRC Group Holdings, Inc. - 6.50 (RILYN) 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.

PJT currently trades at $152.90 with a QOC of 9.3/10, while RILYN trades at $25.00 with a QOC of 5.3/10.

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).