Wsfs Financial (WSFS) Intangibles (2011 - 2023)
Wsfs Financial's Intangibles came in at $118.66 million for Q4 2023, down 7.7% from $128.6 million a year earlier and down 3.2% from the prior quarter.
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Analysis
Wsfs Financial (WSFS) Intangibles (2011 - 2023) Analysis & Trends
Going back to Q4 2011, Wsfs Financial's Intangibles data covers 43 quarters.
- Intangibles carries a five-year compound annual growth rate of 42.8% (FY2018 to FY2023).
- Going back by year, Intangibles was $128.6 million in FY2022 (+72.8%), $74.4 million in FY2021 (-12.0%), $84.56 million in FY2020 (-11.8%) and $95.92 million in FY2019 (+379.2%).
- The Q4 2023 figure represents the lowest quarterly Intangibles since Q4 2021.
- Year-over-year, Intangibles has declined for four consecutive quarters, with growth averaging 31.9% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in Q1 2019 (growth of 381.0%), and the weakest in Q1 2023 (a decline of 14.1%).
- Business Quant data shows WSFS's Intangibles at $122.57 million (Q3 2023), $120.64 million (Q2 2023) and $124.61 million (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 91.48 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 5.87 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 5.26 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Wsfs Financial | 3.86 Bn | -4.46 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 118.66 Mn |
| Sep 30, 2023 | 122.57 Mn |
| Jun 30, 2023 | 120.64 Mn |
| Mar 31, 2023 | 124.61 Mn |
| Dec 31, 2022 | 128.60 Mn |
| Sep 30, 2022 | 132.78 Mn |
| Jun 30, 2022 | 136.74 Mn |
| Mar 31, 2022 | 145.02 Mn |
| Dec 31, 2021 | 74.40 Mn |
| Sep 30, 2021 | 76.52 Mn |
| Jun 30, 2021 | 79.12 Mn |
| Mar 31, 2021 | 81.87 Mn |
| Dec 31, 2020 | 84.56 Mn |
| Sep 30, 2020 | 86.98 Mn |
| Mar 31, 2020 | 92.94 Mn |
| Dec 31, 2019 | 95.92 Mn |
| Sep 30, 2019 | 98.89 Mn |
| Jun 30, 2019 | 101.98 Mn |
| Mar 31, 2019 | 104.77 Mn |
| Dec 31, 2018 | 20.02 Mn |
API Access
Wsfs Financial Intangibles 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=intangibles&ticker=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();