Waterstone Financial (WSBF) Tax Provisions (2012 - 2026)
Waterstone Financial (WSBF) posted Tax Provisions of $2.17 million for Q2 2026, up 11.9% from $1.94 million a year earlier and up 39.7% from the prior quarter.
Waterstone Financial (WSBF) Tax Provisions (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Waterstone Financial was $7.98 million, up 61.6% year-over-year; for FY2025, it was $7.04 million, up 32.5% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of -23.6% (FY2020 to FY2025).
- In prior years, Waterstone Financial's Tax Provisions was $5.31 million in FY2024 (+220.7%), $1.66 million in FY2023 (-66.8%), $4.99 million in FY2022 (-76.6%) and $21.32 million in FY2021 (-21.0%).
- Quarterly Tax Provisions has run from a low of -$555,000 in Q4 2023 to a high of $5.43 million in Q3 2021 over five years.
- On a year-over-year basis, Tax Provisions has increased in each of the last five quarters, with growth averaging 58.9% over the last seven quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q1 2024, with growth of 175.9%; the weakest was Q1 2022, with a decline of 77.8%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $1.56 million (Q1 2026), $2.34 million (Q4 2025) and $1.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 1.40 Bn |
| 10 | Waterstone Financial | 359.14 Mn | 151.41 Mn | - | 2.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.17 Mn |
| Mar 31, 2026 | 1.56 Mn |
| Dec 31, 2025 | 2.34 Mn |
| Sep 30, 2025 | 1.92 Mn |
| Jun 30, 2025 | 1.94 Mn |
| Mar 31, 2025 | 845,000.00 |
| Dec 31, 2024 | 996,000.00 |
| Sep 30, 2024 | 1.16 Mn |
| Jun 30, 2024 | 1.43 Mn |
| Mar 31, 2024 | 1.73 Mn |
| Dec 31, 2023 | -555,000.00 |
| Sep 30, 2023 | 500,000.00 |
| Jun 30, 2023 | 1.09 Mn |
| Mar 31, 2023 | 627,000.00 |
| Dec 31, 2022 | -277,000.00 |
| Sep 30, 2022 | 1.51 Mn |
| Jun 30, 2022 | 2.23 Mn |
| Mar 31, 2022 | 1.53 Mn |
| Dec 31, 2021 | 3.13 Mn |
| Sep 30, 2021 | 5.43 Mn |
Waterstone Financial Tax Provisions 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=tax-provisions&ticker=WSBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();