Wsfs Financial (WSFS) Tax Provisions (2014 - 2026)
Wsfs Financial (WSFS) recorded Tax Provisions of $26.8 million in Q2 2026, up 14.9% from $23.32 million a year earlier but down 3.1% from the prior quarter.
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Analysis
Wsfs Financial (WSFS) Tax Provisions (2014 - 2026) Analysis & Trends
On a TTM basis, Wsfs Financial's Tax Provisions came in at $103.38 million as of Jun 30, 2026, up 20.6% year-over-year; for FY2025, it came in at $93.36 million, up 11.5% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $83.76 million in FY2024 (-13.0%), $96.25 million in FY2023 (+23.5%), $77.96 million in FY2022 (-9.4%) and $86.1 million in FY2021 (+172.1%).
- Quarterly Tax Provisions has ranged from $1.74 million in Q1 2022 to $29.37 million in Q4 2023 over the past five years.
- On a year-over-year basis, Tax Provisions has increased for five consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 81.0% in Q4 2022, against a decline of 91.9% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $27.64 million (Q1 2026), $24.54 million (Q4 2025) and $24.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Wsfs Financial | 3.86 Bn | -4.46 Bn | - | 26.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.80 Mn |
| Mar 31, 2026 | 27.64 Mn |
| Dec 31, 2025 | 24.54 Mn |
| Sep 30, 2025 | 24.41 Mn |
| Jun 30, 2025 | 23.32 Mn |
| Mar 31, 2025 | 21.10 Mn |
| Dec 31, 2024 | 20.20 Mn |
| Sep 30, 2024 | 21.11 Mn |
| Jun 30, 2024 | 21.26 Mn |
| Mar 31, 2024 | 21.20 Mn |
| Dec 31, 2023 | 29.37 Mn |
| Sep 30, 2023 | 22.90 Mn |
| Jun 30, 2023 | 23.04 Mn |
| Mar 31, 2023 | 20.94 Mn |
| Dec 31, 2022 | 28.03 Mn |
| Sep 30, 2022 | 25.77 Mn |
| Jun 30, 2022 | 22.43 Mn |
| Mar 31, 2022 | 1.74 Mn |
| Dec 31, 2021 | 15.49 Mn |
| Sep 30, 2021 | 17.52 Mn |
API Access
Wsfs Financial Tax 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=tax-provisions&ticker=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-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=tax-provisions&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();