NRUC vs SWKHL

National Rural Utilities Cooper vs SWK Holdings Corporation - 9.00 — Valuation Comparison 2026

NRUC

Miscellaneous Business Credit Institution
National Rural Utilities Cooper
Quality
6.6
out of 10
Value Trap
Price
$23.73
Last close
Models
2/13
Active
VS

SWKHL

Miscellaneous Business Credit Institution
SWK Holdings Corporation - 9.00
Quality
6.9
out of 10
Value Trap
20
SAFE
Price
$25.54
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType NRUC Fair ValueNRUC Upside SWKHL Fair ValueSWKHL Upside
Bayesian DCF Intrinsic $101.73 +298.3%
Earnings Power Value Intrinsic $9.68 -62.1%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $34.98 +47.4% $20.65 -19.1%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $41.49 +73.2% $29.64 +15.8%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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NRUC vs SWKHL — Which Stock Is More Undervalued?

SWKHL scores higher with a 6.9/10 quality rating vs NRUC's 6.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing National Rural Utilities Cooper (NRUC) and SWK Holdings Corporation - 9.00 (SWKHL) 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.

NRUC currently trades at $23.73 with a QOC of 6.6/10, while SWKHL trades at $25.54 with a QOC of 6.9/10.

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).