Waterstone Financial, Inc. (WSBF) Securities - Available for Sale (2012 - 2026)
Analysis
Waterstone Financial, Inc. (WSBF) Securities - Available for Sale (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 237.35 Mn |
| Mar 31, 2026 | 237.02 Mn |
| Dec 31, 2025 | 230.85 Mn |
| Sep 30, 2025 | 226.40 Mn |
| Jun 30, 2025 | 218.76 Mn |
| Mar 31, 2025 | 213.62 Mn |
| Dec 31, 2024 | 208.55 Mn |
| Sep 30, 2024 | 213.16 Mn |
| Jun 30, 2024 | 204.84 Mn |
| Mar 31, 2024 | 204.70 Mn |
| Dec 31, 2023 | 204.91 Mn |
| Sep 30, 2023 | 194.50 Mn |
| Jun 30, 2023 | 195.01 Mn |
| Mar 31, 2023 | 200.44 Mn |
| Dec 31, 2022 | 196.59 Mn |
| Sep 30, 2022 | 197.30 Mn |
| Jun 30, 2022 | 200.55 Mn |
| Mar 31, 2022 | 201.95 Mn |
| Dec 31, 2021 | 179.02 Mn |
| Sep 30, 2021 | 174.83 Mn |
API Access
Waterstone Financial, Inc. Securities - Available for Sale 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=securities-available-for-sale&ticker=WSBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-available-for-sale", "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=securities-available-for-sale&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();