Waterstone Financial (WSBF) EBIT (2012 - 2026)
Waterstone Financial (WSBF) posted EBIT of $24.21 million for Q2 2026, down 1.8% from $24.65 million a year earlier but up 14.7% from the prior quarter.
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Analysis
Waterstone Financial (WSBF) EBIT (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Waterstone Financial was $94.43 million, up 5.3% year-over-year; for FY2025, it came in at $92.82 million, up 2.0% from FY2024.
- Annual EBIT has increased for three consecutive years, though with a five-year compound annual growth rate of -7.0% (FY2020 to FY2025).
- In prior years, Waterstone Financial's EBIT was $91 million in FY2024 (+51.6%), $60.03 million in FY2023 (+58.9%), $37.77 million in FY2022 (-64.5%) and $106.47 million in FY2021 (-20.0%).
- Quarterly EBIT has run from a low of $5.72 million in Q4 2022 to a high of $27.82 million in Q3 2021 over five years.
- On a year-over-year basis, EBIT increased in six of the last eight quarters, with growth averaging 12.8%.
- The strongest year-over-year quarter for EBIT in the past five years was Q4 2023, with growth of 150.7%; the weakest was Q4 2022, with a decline of 70.0%.
- According to Business Quant data, EBIT for the three prior quarters was $21.1 million (Q1 2026), $24.45 million (Q4 2025) and $24.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 19.01 Bn |
| 10 | Waterstone Financial | 359.14 Mn | 151.41 Mn | - | 24.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.21 Mn |
| Mar 31, 2026 | 21.10 Mn |
| Dec 31, 2025 | 24.45 Mn |
| Sep 30, 2025 | 24.66 Mn |
| Jun 30, 2025 | 24.65 Mn |
| Mar 31, 2025 | 19.06 Mn |
| Dec 31, 2024 | 22.42 Mn |
| Sep 30, 2024 | 23.56 Mn |
| Jun 30, 2024 | 24.48 Mn |
| Mar 31, 2024 | 20.54 Mn |
| Dec 31, 2023 | 14.34 Mn |
| Sep 30, 2023 | 18.14 Mn |
| Jun 30, 2023 | 16.66 Mn |
| Mar 31, 2023 | 10.88 Mn |
| Dec 31, 2022 | 5.72 Mn |
| Sep 30, 2022 | 9.50 Mn |
| Jun 30, 2022 | 12.56 Mn |
| Mar 31, 2022 | 9.99 Mn |
| Dec 31, 2021 | 19.10 Mn |
| Sep 30, 2021 | 27.82 Mn |
API Access
Waterstone Financial EBIT 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=ebit&ticker=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();