Wsfs Financial (WSFS) Provisions (2010 - 2026)
Wsfs Financial's Provisions came in at $5.04 million for Q2 2026, down 60.0% from $12.62 million a year earlier.
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Analysis
Wsfs Financial (WSFS) Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Wsfs Financial reported Provisions of $21.46 million, down 62.0% year-over-year; for FY2025, it was $49.21 million, down 19.9% from FY2024.
- Provisions carries a five-year compound annual growth rate of -20.3% (FY2020 to FY2025).
- Going back by year, Provisions was $61.41 million in FY2024 (-30.3%), $88.07 million in FY2023 (+83.1%), $48.09 million in FY2022 and -$117.09 million in FY2021.
- The five-year range for quarterly Provisions is -$21.31 million (Q3 2021) to $29.01 million (Q1 2023).
- Year-over-year, Provisions increased in two of the last seven quarters, with an average decline of 22.1%.
- The fastest year-over-year change in Provisions over five years came in Q3 2023 (growth of 147.0%), and the weakest in Q4 2024 (a decline of 67.6%).
- Business Quant data shows WSFS's Provisions at -$3.09 million (Q1 2026), $12.67 million (Q4 2025) and $6.84 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 914.00 Mn |
| 10 | Wsfs Financial | 3.87 Bn | -4.45 Bn | - | 5.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.04 Mn |
| Mar 31, 2026 | -3.09 Mn |
| Dec 31, 2025 | 12.67 Mn |
| Sep 30, 2025 | 6.84 Mn |
| Jun 30, 2025 | 12.62 Mn |
| Mar 31, 2025 | 17.35 Mn |
| Dec 31, 2024 | 8.04 Mn |
| Sep 30, 2024 | 18.42 Mn |
| Jun 30, 2024 | 19.82 Mn |
| Mar 31, 2024 | 15.14 Mn |
| Dec 31, 2023 | 24.82 Mn |
| Sep 30, 2023 | 18.41 Mn |
| Jun 30, 2023 | 15.83 Mn |
| Mar 31, 2023 | 29.01 Mn |
| Dec 31, 2022 | 13.40 Mn |
| Sep 30, 2022 | 7.45 Mn |
| Jun 30, 2022 | 8.27 Mn |
| Mar 31, 2022 | 18.97 Mn |
| Dec 31, 2021 | -8.05 Mn |
| Sep 30, 2021 | -21.31 Mn |
API Access
Wsfs Financial 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=provisions&ticker=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();