TFS Financial (TFSL) Change in Net Loans (2013 - 2019)
TFS Financial (TFSL) posted Change in Net Loans of $1.06 billion for fiscal Q1 2020 (quarter ended Dec 31, 2019), up 63.0% from $647.4 million a year earlier and up 22.5% from the prior quarter.
TFS Financial (TFSL) Change in Net Loans (2013 - 2019) Analysis & Trends
For the trailing twelve months through Dec 31, 2019, Change in Net Loans at TFS Financial was $3.44 billion, up 7.2% year-over-year; for FY2019 (ended Sep 30, 2019), it came in at $3.03 billion, down 9.3% from FY2018.
- Annual Change in Net Loans shows a five-year compound annual growth rate of 4.5% (FY2014 to FY2019).
- In prior fiscal years, TFS Financial's Change in Net Loans was $3.34 billion in FY2018 (-2.5%), $3.42 billion in FY2017 (+13.2%), $3.02 billion in FY2016 (+9.6%) and $2.76 billion in FY2015 (+13.8%).
- The fiscal Q1 2020 figure stands as the highest quarterly Change in Net Loans in data going back to fiscal Q4 2013.
- On a year-over-year basis, Change in Net Loans increased in four of the last eight quarters, with growth averaging 3.2%.
- The strongest year-over-year quarter for Change in Net Loans in the past five years was fiscal Q1 2020, with growth of 63.0%; the weakest was fiscal Q2 2019, with a decline of 25.6%.
- According to Business Quant data, Change in Net Loans for the three prior fiscal quarters was $862.03 million (Q4 2019), $980.56 million (Q3 2019) and $538.2 million (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (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 | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 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 | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | TFS Financial | 4.54 Bn | 4.54 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 1.06 Bn |
| Sep 30, 2019 | 862.03 Mn |
| Jun 30, 2019 | 980.56 Mn |
| Mar 31, 2019 | 538.20 Mn |
| Dec 31, 2018 | 647.40 Mn |
| Sep 30, 2018 | 865.16 Mn |
| Jun 30, 2018 | 969.28 Mn |
| Mar 31, 2018 | 723.69 Mn |
| Dec 31, 2017 | 780.65 Mn |
| Sep 30, 2017 | 790.69 Mn |
| Jun 30, 2017 | 818.95 Mn |
| Mar 31, 2017 | 946.95 Mn |
| Dec 31, 2016 | 866.30 Mn |
| Sep 30, 2016 | 1.01 Bn |
| Jun 30, 2016 | 820.09 Mn |
| Mar 31, 2016 | 649.95 Mn |
| Dec 31, 2015 | 548.73 Mn |
| Sep 30, 2015 | 819.70 Mn |
| Jun 30, 2015 | 740.72 Mn |
| Mar 31, 2015 | 588.65 Mn |
TFS Financial Change in Net Loans 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=change-in-net-loans&ticker=TFSL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=TFSL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();