Waterstone Financial (WSBF) Property, Plant & Equipment (Net) (2012 - 2026)
Waterstone Financial (WSBF) reported Property, Plant & Equipment (Net) of $18.9 million for Q2 2026, up 0.1% from $18.87 million a year earlier but down 1.9% from the prior quarter.
Waterstone Financial (WSBF) Property, Plant & Equipment (Net) (2012 - 2026) Analysis & Trends
At the end of FY2025, Waterstone Financial posted Property, Plant & Equipment (Net) of $18.86 million, down 2.8% from FY2024.
- Property, Plant & Equipment (Net) has declined for six consecutive years, with a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $19.39 million in FY2024 (-3.0%), $20 million in FY2023 (-5.3%), $21.11 million in FY2022 (-5.2%) and $22.27 million in FY2021 (-6.1%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $18.74 million in Q3 2025 and a high of $22.68 million in Q3 2021.
- Year over year, Property, Plant & Equipment (Net) gained in two of the last eight quarters, with an average decline of 2.4%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2026 (growth of 0.3%); the low point was Q3 2023 (a decline of 6.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.27 million (Q1 2026), $18.86 million (Q4 2025) and $18.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 37.70 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 29.00 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 12.79 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 4.98 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 8.96 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 11.63 Bn |
| 10 | Waterstone Financial | 358.42 Mn | 150.69 Mn | - | 18.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.90 Mn |
| Mar 31, 2026 | 19.27 Mn |
| Dec 31, 2025 | 18.86 Mn |
| Sep 30, 2025 | 18.74 Mn |
| Jun 30, 2025 | 18.87 Mn |
| Mar 31, 2025 | 19.22 Mn |
| Dec 31, 2024 | 19.39 Mn |
| Sep 30, 2024 | 19.45 Mn |
| Jun 30, 2024 | 19.66 Mn |
| Mar 31, 2024 | 19.94 Mn |
| Dec 31, 2023 | 20.00 Mn |
| Sep 30, 2023 | 20.04 Mn |
| Jun 30, 2023 | 20.34 Mn |
| Mar 31, 2023 | 20.72 Mn |
| Dec 31, 2022 | 21.11 Mn |
| Sep 30, 2022 | 21.49 Mn |
| Jun 30, 2022 | 21.78 Mn |
| Mar 31, 2022 | 21.93 Mn |
| Dec 31, 2021 | 22.27 Mn |
| Sep 30, 2021 | 22.68 Mn |
Waterstone Financial Property, Plant & Equipment (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=property-plant-and-equipment-net&ticker=WSBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-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=property-plant-and-equipment-net&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();