$SSBK Earnings Preview: Update on Recent Insider Trading and Hedge Fund Activity

July 25, 2025

$SSBK, also known as SSBK, is gearing up to announce its quarterly earnings data on Monday, July 28th before the market opens, according to Finnhub. The consensus among analysts is that the company will report revenue of $27,795,000 and earnings of $1.00 per share. For further insights on $SSBK, you can refer to Quiver Quantitative’s stock page, which offers comprehensive data on insider trading, hedge fund activity, congressional trading, and more.

In terms of hedge fund activity, there have been notable movements in the recent quarter. 37 institutional investors have increased their holdings of $SSBK shares, while 38 have decreased their positions. Significant changes include CASTALIAN PARTNERS, LLC selling off 105,695 shares (100.0% of their portfolio) in Q1 2025, which amounted to an estimated $3,778,596. On the other hand, PRIVATE CAPITAL MANAGEMENT, LLC added 104,047 shares (271.6%) to their holdings in Q1 2025, valued at around $3,719,680.

KEYSTONE FINANCIAL GROUP, INC. decided to remove 59,868 shares (100.0%) from their portfolio in Q2 2025, translating to an estimated value of $2,177,399. CURI RMB CAPITAL, LLC and MENDON CAPITAL ADVISORS CORP both reduced their holdings by removing 45,000 shares (37.5%) in Q1 2025, amounting to an estimated value of $1,608,750 each. Conversely, KENNEDY CAPITAL MANAGEMENT LLC saw an increase by adding 40,325 shares (41.6%) to their portfolio in Q1 2025, with an estimated value of $1,441,618. Lastly, BANC FUNDS CO LLC shed 32,329 shares (4.6%) from their holdings in Q1 2025, reflecting an estimated value of $1,155,761.

For a detailed look at hedge funds’ stock portfolios, you can utilize Quiver Quantitative’s institutional holdings dashboard. It is important to note that this article does not provide financial advice and urges readers to refer to Quiver Quantitative’s disclaimers for further details. Potential inaccuracies may arise due to errors in ticker-mapping and other anomalies present in the data.