Wsfs Financial (WSFS) Depreciation and Depletion (2016 - 2026)
Wsfs Financial's Depreciation and Depletion was $2.7 million in Q2 2026, down 5.3% from $2.85 million a year earlier and down 41.9% from the prior quarter.
Wsfs Financial (WSFS) Depreciation and Depletion (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wsfs Financial's Depreciation and Depletion was $13.36 million through Jun 30, 2026, up 6.7% year-over-year; for FY2025, it came in at $12.09 million, down 12.9% from FY2024.
- Depreciation and Depletion has now declined for three consecutive years, with a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $13.88 million in FY2024 (-20.8%), $17.51 million in FY2023 (-27.5%), $24.15 million in FY2022 (+56.7%) and $15.41 million in FY2021 (+2.7%).
- The Q2 2026 figure marks the lowest quarterly Depreciation and Depletion since Q4 2018.
- Compared with a year earlier, Depreciation and Depletion was higher in 1 of the last eight quarters, with an average decline of 7.2%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q1 2022 (growth of 258.0%); the worst was Q1 2023 (a decline of 60.9%).
- Per Business Quant data, WSFS's Depreciation and Depletion in the three quarters before Q2 2026 was $4.65 million (Q1 2026), $3.17 million (Q4 2025) and $2.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 243.13 Mn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | Wsfs Financial | 3.91 Bn | -4.41 Bn | - | 2.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.70 Mn |
| Mar 31, 2026 | 4.65 Mn |
| Dec 31, 2025 | 3.17 Mn |
| Sep 30, 2025 | 2.85 Mn |
| Jun 30, 2025 | 2.85 Mn |
| Mar 31, 2025 | 3.22 Mn |
| Dec 31, 2024 | 3.20 Mn |
| Sep 30, 2024 | 3.26 Mn |
| Jun 30, 2024 | 3.32 Mn |
| Mar 31, 2024 | 4.10 Mn |
| Dec 31, 2023 | 3.96 Mn |
| Sep 30, 2023 | 4.53 Mn |
| Jun 30, 2023 | 4.70 Mn |
| Mar 31, 2023 | 4.33 Mn |
| Dec 31, 2022 | 4.14 Mn |
| Sep 30, 2022 | 4.93 Mn |
| Jun 30, 2022 | 4.01 Mn |
| Mar 31, 2022 | 11.06 Mn |
| Dec 31, 2021 | 5.52 Mn |
| Sep 30, 2021 | 3.31 Mn |
Wsfs Financial Depreciation and Depletion 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=depreciation-and-depletion&ticker=WSFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();