Waterstone Financial (WSBF) Mortgage Banking (2012 - 2026)
Waterstone Financial (WSBF) recorded Mortgage Banking of $22.14 million in Q2 2026, down 1.8% from $22.56 million a year earlier but up 16.9% from the prior quarter.
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Analysis
Waterstone Financial (WSBF) Mortgage Banking (2012 - 2026) Analysis & Trends
On a TTM basis, Waterstone Financial's Mortgage Banking came in at $82.03 million as of Jun 30, 2026, up 6.6% year-over-year; for FY2025, it was $79.23 million, down 5.2% from FY2024.
- Annual Mortgage Banking has a five-year compound annual growth rate of -19.4% (FY2020 to FY2025).
- Across earlier years, Mortgage Banking came in at $83.57 million in FY2024 (+10.4%), $75.69 million in FY2023 (-24.0%), $99.56 million in FY2022 (-47.9%) and $191.04 million in FY2021 (-18.1%).
- Quarterly Mortgage Banking has ranged from $15.73 million in Q1 2025 to $46.55 million in Q3 2021 over the past five years.
- On a year-over-year basis, Mortgage Banking rose in four of the last eight quarters, with growth averaging 1.5%.
- Peak year-over-year performance for Mortgage Banking in the last five years was growth of 20.5% in Q1 2026, against a decline of 60.9% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.95 million (Q1 2026), $20.06 million (Q4 2025) and $20.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Waterstone Financial | 359.14 Mn | 151.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.14 Mn |
| Mar 31, 2026 | 18.95 Mn |
| Dec 31, 2025 | 20.06 Mn |
| Sep 30, 2025 | 20.88 Mn |
| Jun 30, 2025 | 22.56 Mn |
| Mar 31, 2025 | 15.73 Mn |
| Dec 31, 2024 | 17.37 Mn |
| Sep 30, 2024 | 21.29 Mn |
| Jun 30, 2024 | 24.84 Mn |
| Mar 31, 2024 | 20.07 Mn |
| Dec 31, 2023 | 15.83 Mn |
| Sep 30, 2023 | 21.17 Mn |
| Jun 30, 2023 | 21.91 Mn |
| Mar 31, 2023 | 16.77 Mn |
| Dec 31, 2022 | 15.81 Mn |
| Sep 30, 2022 | 26.06 Mn |
| Jun 30, 2022 | 29.41 Mn |
| Mar 31, 2022 | 28.28 Mn |
| Dec 31, 2021 | 40.45 Mn |
| Sep 30, 2021 | 46.55 Mn |
API Access
Waterstone Financial Mortgage Banking 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=mortgage-banking&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "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=mortgage-banking&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();