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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4.83 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 2.03 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | -2.06 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1.51 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1.24 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 1.71 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.16 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 1.70 Bn |
| 10 | Waterstone Financial | 362.38 Mn | 154.65 Mn | - | 2.17 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();