AB vs ACV

AllianceBernstein Holding L.P. vs 568516 — Valuation Comparison 2026

AB

Asset Management
AllianceBernstein Holding L.P.
Quality
7.7
out of 10
Value Trap
6
SAFE
Price
$36.99
Last close
Models
13/13
Active
VS

ACV

Asset Management
568516
Quality
1.7
out of 10
Value Trap
Price
$28.10
Last close
Models
6/13
Active

Model-by-Model Comparison

ModelType AB Fair ValueAB Upside ACV Fair ValueACV Upside
Bayesian DCF Intrinsic $61.89 +67.3% $7.44 -73.5%
Earnings Power Value Intrinsic $22.48 -39.2%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $46.57 +25.9% $18.88 -32.8%
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 AB vs ACV — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

AB vs ACV — Which Stock Is More Undervalued?

AB scores higher with a 7.7/10 quality rating vs ACV's 1.7/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing AllianceBernstein Holding L.P. (AB) and 568516 (ACV) 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.

AB currently trades at $36.99 with a QOC of 7.7/10, while ACV trades at $28.10 with a QOC of 1.7/10.

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).