Lowest Value Trap Savings Institution, Federally Chartered Stocks 2026

Safest value Savings Institution, Federally Chartered stocks in 2026 with the lowest Value Trap scores. Avoid value traps with CirclFi's multi-signal screening.

28 stocks analyzed Updated 2026-05-29
# Ticker Company QOC Price Trap Score
1 PDLB Ponce Financial Group, Inc. 9.3 $18.88 6/100
2 RVSB Riverview Bancorp Inc 7.7 $5.61 8/100
3 BKU BankUnited, Inc. 7.8 $46.39 12/100
4 CLST Catalyst Bancorp, Inc. 8.9 $15.92 12/100
5 FCAP First Capital, Inc. 9.3 $61.81 12/100
6 FSEA First Seacoast Bancorp, Inc. 6.7 $16.72 12/100
7 NFBK Northfield Bancorp, Inc. 7.7 $14.18 12/100
8 NSTS NSTS Bancorp, Inc. 6.2 $13.77 12/100
9 TFSL TFS Financial Corporation 6.0 $15.91 12/100
10 WNEB Western New England Bancorp, In 8.1 $13.27 12/100
11 A••• Axos ••••• •.• $•••.•• ••.•%
12 B••• BV ••••• •.• $•••.•• ••.•%
13 B••• Broadway ••••• •.• $•••.•• ••.•%
14 C••• Columbia ••••• •.• $•••.•• ••.•%
15 M••• Magyar ••••• •.• $•••.•• ••.•%
16 P••• Provident ••••• •.• $•••.•• ••.•%
17 F••• First ••••• •.• $•••.•• ••.•%
18 F••• First ••••• •.• $•••.•• ••.•%
19 H••• HomeTrust ••••• •.• $•••.•• ••.•%
20 P••• Provident ••••• •.• $•••.•• ••.•%
🔒

Unlock the Full Lowest Value Trap Savings Institution, Federally Chartered Stocks 2026 List

Screen all 28 Savings Institution, Federally Chartered stocks with 13 institutional-grade valuation models. Updated daily from SEC EDGAR filings.

Access Full Screening — From $27/mo →

How CirclFi Ranks Savings Institution, Federally Chartered Stocks

CirclFi analyzes 28 Savings Institution, Federally Chartered stocks daily using 13 independent institutional-grade valuation models. Each model processes SEC EDGAR 10-K and 10-Q financial filings (700+ XBRL tags), FRED macroeconomic data, and GDELT news sentiment.

The lowest value trap savings institution, federally chartered stocks 2026 ranking uses trap score as the primary sort criterion. Models span intrinsic valuation (Bayesian DCF with 10,000 Monte Carlo simulations, EPV), scenario analysis (First Chicago), regime-switching (Markov DDM), and machine learning (ML-RIV, FTNN Topology).