Waterstone Financial (WSBF) Retained Earnings (2012 - 2026)
Waterstone Financial (WSBF) reported Retained Earnings of $301.62 million for Q2 2026, up 6.7% from $282.58 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Waterstone Financial (WSBF) Retained Earnings (2012 - 2026) Analysis & Trends
At the end of FY2025, Waterstone Financial posted Retained Earnings of $292.96 million, up 5.7% from FY2024.
- Retained Earnings has a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- By year, Retained Earnings came in at $277.2 million in FY2024 (+2.8%), $269.61 million in FY2023 (-1.7%), $274.25 million in FY2022 (+0.3%) and $273.4 million in FY2021 (+11.5%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2012.
- Year over year, Retained Earnings has now increased in each of the last nine quarters, with growth averaging 4.2% over the last eight quarters.
- The high point for year-over-year Retained Earnings in five years was Q3 2021 (growth of 20.9%); the low point was Q3 2023 (a decline of 1.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $296.03 million (Q1 2026), $292.96 million (Q4 2025) and $287.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 237.23 Bn |
| 10 | Waterstone Financial | 359.14 Mn | 151.41 Mn | - | 301.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301.62 Mn |
| Mar 31, 2026 | 296.03 Mn |
| Dec 31, 2025 | 292.96 Mn |
| Sep 30, 2025 | 287.87 Mn |
| Jun 30, 2025 | 282.58 Mn |
| Mar 31, 2025 | 277.52 Mn |
| Dec 31, 2024 | 277.20 Mn |
| Sep 30, 2024 | 274.75 Mn |
| Jun 30, 2024 | 272.78 Mn |
| Mar 31, 2024 | 269.83 Mn |
| Dec 31, 2023 | 269.61 Mn |
| Sep 30, 2023 | 272.54 Mn |
| Jun 30, 2023 | 272.23 Mn |
| Mar 31, 2023 | 272.27 Mn |
| Dec 31, 2022 | 274.25 Mn |
| Sep 30, 2022 | 277.51 Mn |
| Jun 30, 2022 | 276.44 Mn |
| Mar 31, 2022 | 272.74 Mn |
| Dec 31, 2021 | 273.40 Mn |
| Sep 30, 2021 | 277.32 Mn |
API Access
Waterstone Financial Retained Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=retained-earnings&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "WSBF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();