Waterstone Financial (WSBF) Consolidated Net Income (2012 - 2026)
Waterstone Financial (WSBF) recorded Consolidated Net Income of $8.46 million in Q2 2026, up 9.5% from $7.73 million a year earlier and up 41.1% from the prior quarter.
Waterstone Financial (WSBF) Consolidated Net Income (2012 - 2026) Analysis & Trends
On a TTM basis, Waterstone Financial's Consolidated Net Income came in at $30.1 million as of Jun 30, 2026, up 45.4% year-over-year; for FY2025, it came in at $26.4 million, up 41.3% from FY2024.
- Annual Consolidated Net Income has a five-year compound annual growth rate of -20.1% (FY2020 to FY2025).
- Across earlier years, Consolidated Net Income came in at $18.69 million in FY2024 (+99.3%), $9.38 million in FY2023 (-51.9%), $19.49 million in FY2022 (-72.5%) and $70.79 million in FY2021 (-12.8%).
- The Q2 2026 figure is the highest quarterly Consolidated Net Income since Q4 2021.
- On a year-over-year basis, Consolidated Net Income has increased for five consecutive quarters, with growth averaging 43.3% over the last seven quarters.
- Peak year-over-year performance for Consolidated Net Income in the last five years was growth of 97.5% in Q1 2026, against a decline of 92.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $6 million (Q1 2026), $7.71 million (Q4 2025) and $7.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 6.65 Bn |
| 10 | Waterstone Financial | 350.69 Mn | 142.96 Mn | - | 8.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.46 Mn |
| Mar 31, 2026 | 6.00 Mn |
| Dec 31, 2025 | 7.71 Mn |
| Sep 30, 2025 | 7.93 Mn |
| Jun 30, 2025 | 7.73 Mn |
| Mar 31, 2025 | 3.04 Mn |
| Dec 31, 2024 | 5.21 Mn |
| Sep 30, 2024 | 4.73 Mn |
| Jun 30, 2024 | 5.71 Mn |
| Mar 31, 2024 | 3.04 Mn |
| Dec 31, 2023 | -40,000.00 |
| Sep 30, 2023 | 3.25 Mn |
| Jun 30, 2023 | 4.01 Mn |
| Mar 31, 2023 | 2.16 Mn |
| Dec 31, 2022 | 935,000.00 |
| Sep 30, 2022 | 5.27 Mn |
| Jun 30, 2022 | 7.99 Mn |
| Mar 31, 2022 | 5.29 Mn |
| Dec 31, 2021 | 12.55 Mn |
| Sep 30, 2021 | 19.00 Mn |
Waterstone Financial Consolidated Net Income 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=consolidated-net-income&ticker=WSBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();