NSTS vs NU

NSTS Bancorp, Inc. vs Nu Holdings Ltd. — Valuation Comparison 2026

NSTS

Banks - Regional
NSTS Bancorp, Inc.
Quality
6.2
out of 10
Value Trap
12
SAFE
Price
$13.77
Last close
Models
12/13
Active
VS

NU

Banks - Regional
Nu Holdings Ltd.
Quality
7.7
out of 10
Value Trap
18
SAFE
Price
$13.05
Last close
Models
12/13
Active

Model-by-Model Comparison

ModelType NSTS Fair ValueNSTS Upside NU Fair ValueNU Upside
Bayesian DCF Intrinsic $15.58 +13.2% $3.37 -74.2%
Earnings Power Value Intrinsic $10.16 -26.2% $7.12 -45.4%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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 NSTS vs NU — including EROIC Spread, First Chicago, Markov DDM, PWERM, and 7 more.

Access Full Analysis — From $27/mo →

NSTS vs NU — Which Stock Is More Undervalued?

NU scores higher with a 7.7/10 quality rating vs NSTS's 6.2/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing NSTS Bancorp, Inc. (NSTS) and Nu Holdings Ltd. (NU) 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.

NSTS currently trades at $13.77 with a QOC of 6.2/10, while NU trades at $13.05 with a QOC of 7.7/10.

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).