Waterstone Financial (WSBF) EBITDA Margin (2013 - 2026)
Waterstone Financial (WSBF) recorded EBITDA Margin of 62.14% in Q2 2026, down 4.13 percentage points from 66.27% a year earlier but up 0.44 percentage points from the prior quarter.
Waterstone Financial (WSBF) EBITDA Margin (2013 - 2026) Analysis & Trends
On a TTM basis, Waterstone Financial's EBITDA Margin came in at 64.88% as of Jun 30, 2026, down 4.21 percentage points year-over-year; for FY2025, it came in at 67.20%, down 1.80 percentage points from FY2024.
- Annual EBITDA Margin has a five-year change of +20.58 percentage points (FY2020 to FY2025).
- Across earlier years, EBITDA Margin came in at 69.00% in FY2024 (+20.81 pp), 48.19% in FY2023 (+22.47 pp), 25.72% in FY2022 (-17.77 pp) and 43.49% in FY2021 (-3.13 pp).
- Quarterly EBITDA Margin has ranged from 20.36% in Q4 2022 to 72.29% in Q4 2024 over the past five years.
- On a year-over-year basis, EBITDA Margin has declined for five consecutive quarters, with an average year-over-year change of +2.30 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 33.34 percentage points in Q4 2023, against a drop of 21.89 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 61.70% (Q1 2026), 67.63% (Q4 2025) and 68.17% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 92.35% |
| 10 | Waterstone Financial | 359.14 Mn | 151.41 Mn | - | 62.14% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.14% |
| Mar 31, 2026 | 61.70% |
| Dec 31, 2025 | 67.63% |
| Sep 30, 2025 | 68.17% |
| Jun 30, 2025 | 66.27% |
| Mar 31, 2025 | 66.63% |
| Dec 31, 2024 | 72.29% |
| Sep 30, 2024 | 71.39% |
| Jun 30, 2024 | 67.56% |
| Mar 31, 2024 | 64.91% |
| Dec 31, 2023 | 53.70% |
| Sep 30, 2023 | 55.10% |
| Jun 30, 2023 | 48.07% |
| Mar 31, 2023 | 36.14% |
| Dec 31, 2022 | 20.36% |
| Sep 30, 2022 | 24.59% |
| Jun 30, 2022 | 29.89% |
| Mar 31, 2022 | 26.56% |
| Dec 31, 2021 | 36.64% |
| Sep 30, 2021 | 43.59% |
Waterstone Financial EBITDA Margin 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=ebitda-margin&ticker=WSBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();