Waterstone Financial, Inc. (WSBF) Loans - Net (2012 - 2026)
Waterstone Financial (WSBF) reported Loans - Net of $1.67 billion for Q2 2026, up 1.2% from $1.65 billion a year earlier and unchanged from the prior quarter.
Waterstone Financial, Inc. (WSBF) Loans - Net (2012 - 2026) Analysis & Trends
At the end of FY2025, Waterstone Financial posted Loans - Net of $1.66 billion, down 0.3% from FY2024.
- Loans - Net has a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- By year, Loans - Net came in at $1.66 billion in FY2024 (+1.0%), $1.65 billion in FY2023 (+10.3%), $1.49 billion in FY2022 (+25.4%) and $1.19 billion in FY2021 (-12.3%).
- Five-year quarterly Loans - Net spans a low of $1.19 billion in Q4 2021 and a high of $1.7 billion in Q3 2025.
- Year over year, Loans - Net gained in five of the last eight quarters, with growth averaging 0.8%.
- The high point for year-over-year Loans - Net in five years was Q1 2023 (growth of 28.7%); the low point was Q3 2021 (a decline of 14.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.67 billion (Q1 2026), $1.66 billion (Q4 2025) and $1.7 billion (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.67 Bn |
| Mar 31, 2026 | 1.67 Bn |
| Dec 31, 2025 | 1.66 Bn |
| Sep 30, 2025 | 1.70 Bn |
| Jun 30, 2025 | 1.65 Bn |
| Mar 31, 2025 | 1.65 Bn |
| Dec 31, 2024 | 1.66 Bn |
| Sep 30, 2024 | 1.68 Bn |
| Jun 30, 2024 | 1.66 Bn |
| Mar 31, 2024 | 1.65 Bn |
| Dec 31, 2023 | 1.65 Bn |
| Sep 30, 2023 | 1.63 Bn |
| Jun 30, 2023 | 1.60 Bn |
| Mar 31, 2023 | 1.53 Bn |
| Dec 31, 2022 | 1.49 Bn |
| Sep 30, 2022 | 1.34 Bn |
| Jun 30, 2022 | 1.26 Bn |
| Mar 31, 2022 | 1.19 Bn |
| Dec 31, 2021 | 1.19 Bn |
| Sep 30, 2021 | 1.21 Bn |
Waterstone Financial, Inc. Loans - Net 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=loans-net&ticker=WSBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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=loans-net&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();