Wsfs Financial (WSFS) Long-Term Debt Repayments (2010 - 2026)
Wsfs Financial's Long-Term Debt Repayments was $4.55 billion in Q2 2026, up 51.7% from $3 billion a year earlier and up 13.8% from the prior quarter.
Wsfs Financial (WSFS) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wsfs Financial's Long-Term Debt Repayments was $19.86 billion through Jun 30, 2026, up 32.1% year-over-year; for FY2025, it was $17.26 billion, up 32.9% from FY2024.
- Long-Term Debt Repayments has now increased for three consecutive years, with a five-year compound annual growth rate of 27.3% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $12.99 billion in FY2024 (+72.1%), $7.55 billion in FY2023 (+395.4%), $1.52 billion in FY2022 and $7.62 million in FY2021 (-99.9%).
- Quarterly Long-Term Debt Repayments has moved between -$92.38 million (Q4 2021) and $8.01 billion (Q4 2025) over five years.
- Compared with a year earlier, Long-Term Debt Repayments has increased for three straight quarters, with growth averaging 174.7% over the last eight quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q3 2024 (growth of 915.7%); the worst was Q3 2025 (a decline of 52.2%).
- Per Business Quant data, WSFS's Long-Term Debt Repayments in the three quarters before Q2 2026 was $4 billion (Q1 2026), $8.01 billion (Q4 2025) and $3.3 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.00 Bn |
| 10 | Wsfs Financial | 3.86 Bn | -4.46 Bn | - | 4.55 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.55 Bn |
| Mar 31, 2026 | 4.00 Bn |
| Dec 31, 2025 | 8.01 Bn |
| Sep 30, 2025 | 3.30 Bn |
| Jun 30, 2025 | 3.00 Bn |
| Mar 31, 2025 | 2.95 Bn |
| Dec 31, 2024 | 2.18 Bn |
| Sep 30, 2024 | 6.91 Bn |
| Jun 30, 2024 | 1.95 Bn |
| Mar 31, 2024 | 1.95 Bn |
| Dec 31, 2023 | 1.25 Bn |
| Sep 30, 2023 | 680.00 Mn |
| Jun 30, 2023 | 1.91 Bn |
| Mar 31, 2023 | 3.70 Bn |
| Dec 31, 2022 | 1.07 Bn |
| Sep 30, 2022 | 458.10 Mn |
| Dec 31, 2021 | -92.38 Mn |
| Jun 30, 2021 | 93.38 Mn |
| Mar 31, 2021 | 6.62 Mn |
| Dec 31, 2020 | 20.26 Mn |
Wsfs Financial Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=WSFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();