TFS Financial (TFSL) Financial Services Fees (2009 - 2019)
TFS Financial's Financial Services Fees came in at $1.8 million for fiscal Q2 2019 (quarter ended Mar 31, 2019), down 0.2% from $1.8 million a year earlier but up 1.1% from the prior quarter.
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Analysis
TFS Financial (TFSL) Financial Services Fees (2009 - 2019) Analysis & Trends
Over the trailing twelve months to Mar 31, 2019, TFS Financial reported Financial Services Fees of $7.51 million, up 7.1% year-over-year; for FY2018 (ended Sep 30, 2018), it was $7.49 million, up 8.7% from FY2017.
- Financial Services Fees carries a five-year compound annual growth rate of -3.4% (FY2013 to FY2018).
- Going back by fiscal year, Financial Services Fees was $6.9 million in FY2017 (-7.1%), $7.42 million in FY2016 (-6.9%), $7.97 million in FY2015 (-14.0%) and $9.27 million in FY2014 (+3.9%).
- The five-year range for quarterly Financial Services Fees is $1.67 million (fiscal Q2 2017) to $2.36 million (fiscal Q3 2014).
- Year-over-year, Financial Services Fees increased in four of the last eight quarters, with growth averaging 3.3%.
- The fastest year-over-year change in Financial Services Fees over five years came in fiscal Q3 2018 (growth of 17.7%), and the weakest in fiscal Q2 2015 (a decline of 17.3%).
- Business Quant data shows TFSL's Financial Services Fees at $1.78 million (Q1 2019), $1.92 million (Q4 2018) and $2.02 million (Q3 2018) in the three fiscal quarters before Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 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 | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | TFS Financial | 4.54 Bn | 4.54 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 1.80 Mn |
| Dec 31, 2018 | 1.78 Mn |
| Sep 30, 2018 | 1.92 Mn |
| Jun 30, 2018 | 2.02 Mn |
| Mar 31, 2018 | 1.80 Mn |
| Dec 31, 2017 | 1.76 Mn |
| Sep 30, 2017 | 1.73 Mn |
| Jun 30, 2017 | 1.71 Mn |
| Mar 31, 2017 | 1.67 Mn |
| Dec 31, 2016 | 1.78 Mn |
| Sep 30, 2016 | 1.90 Mn |
| Jun 30, 2016 | 1.73 Mn |
| Mar 31, 2016 | 1.83 Mn |
| Dec 31, 2015 | 1.97 Mn |
| Sep 30, 2015 | 1.87 Mn |
| Jun 30, 2015 | 1.96 Mn |
| Mar 31, 2015 | 1.98 Mn |
| Dec 31, 2014 | 2.16 Mn |
| Sep 30, 2014 | 2.23 Mn |
| Jun 30, 2014 | 2.36 Mn |
API Access
TFS Financial Financial Services Fees 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=financial-services-fees&ticker=TFSL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "ticker": "TFSL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=financial-services-fees&ticker=TFSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();