Wsfs Financial (WSFS) EBITDA Margin (2010 - 2026)
Wsfs Financial's EBITDA Margin was 99.18% in Q2 2026, down 3.87 percentage points from 103.04% a year earlier and down 8.30 percentage points from the prior quarter.
Wsfs Financial (WSFS) EBITDA Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wsfs Financial's EBITDA Margin was 104.57% through Jun 30, 2026, down 2.52 percentage points year-over-year; for FY2025, it came in at 105.74%, down 6.25 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +31.77 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 111.99% in FY2024 (-7.48 pp), 119.46% in FY2023 (+40.25 pp), 79.21% in FY2022 (-47.54 pp) and 126.75% in FY2021 (+52.78 pp).
- The Q2 2026 figure marks the lowest quarterly EBITDA Margin since Q3 2022.
- Compared with a year earlier, EBITDA Margin has declined for three straight quarters, with an average year-over-year change of -7.06 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q1 2023 (a gain of 90.81 percentage points); the worst was Q1 2022 (a drop of 102.99 percentage points).
- Per Business Quant data, WSFS's EBITDA Margin in the three quarters before Q2 2026 was 107.48% (Q1 2026), 101.81% (Q4 2025) and 110.38% (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 | Wsfs Financial | 3.87 Bn | -4.45 Bn | - | 99.18% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.18% |
| Mar 31, 2026 | 107.48% |
| Dec 31, 2025 | 101.81% |
| Sep 30, 2025 | 110.38% |
| Jun 30, 2025 | 103.04% |
| Mar 31, 2025 | 108.08% |
| Dec 31, 2024 | 109.77% |
| Sep 30, 2024 | 107.69% |
| Jun 30, 2024 | 109.77% |
| Mar 31, 2024 | 125.36% |
| Dec 31, 2023 | 113.48% |
| Sep 30, 2023 | 126.69% |
| Jun 30, 2023 | 124.55% |
| Mar 31, 2023 | 113.61% |
| Dec 31, 2022 | 113.46% |
| Sep 30, 2022 | 97.54% |
| Jun 30, 2022 | 79.85% |
| Mar 31, 2022 | 22.80% |
| Dec 31, 2021 | 99.10% |
| Sep 30, 2021 | 106.13% |
Wsfs 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=WSFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "WSFS", "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=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();