Pathward Financial (CASH) Loans - Net (2010 - 2016)
Pathward Financial's Loans - Net came in at $919.47 million for fiscal Q4 2016 (quarter ended Sep 30, 2016), up 30.2% from $706.26 million a year earlier and up 7.6% from the prior quarter.
Pathward Financial (CASH) Loans - Net (2010 - 2016) Analysis & Trends
Going back to fiscal Q4 2010, Pathward Financial's Loans - Net data covers 22 quarters.
- Loans - Net has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 23.9% (FY2011 to FY2016).
- Going back by fiscal year, Loans - Net was $706.26 million in FY2015 (+43.3%), $493.01 million in FY2014 (+29.6%), $380.43 million in FY2013 (+16.3%) and $326.98 million in FY2012 (+4.0%).
- The fiscal Q4 2016 figure represents the highest quarterly Loans - Net in data going back to fiscal Q4 2010.
- Year-over-year, Loans - Net has increased for 13 consecutive quarters, with growth averaging 35.6% over the last eight quarters.
- The fastest year-over-year change in Loans - Net over five years came in fiscal Q1 2015 (growth of 46.7%), and the weakest in fiscal Q1 2013 (a decline of 0.2%).
- Business Quant data shows CASH's Loans - Net at $854.51 million (Q3 2016), $777.45 million (Q2 2016) and $737.13 million (Q1 2016) in the three fiscal quarters before Q4 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 1,558.37 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1,238.26 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | 1,022.11 Bn |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 297.21 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 275.65 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1,034.29 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | 898.30 Bn |
| 10 | Pathward Financial | 1.60 Bn | 837.77 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 919.47 Mn |
| Jun 30, 2016 | 854.51 Mn |
| Mar 31, 2016 | 777.45 Mn |
| Dec 31, 2015 | 737.13 Mn |
| Sep 30, 2015 | 706.26 Mn |
| Jun 30, 2015 | 651.53 Mn |
| Mar 31, 2015 | 618.74 Mn |
| Dec 31, 2014 | 590.44 Mn |
| Sep 30, 2014 | 493.01 Mn |
| Jun 30, 2014 | 471.94 Mn |
| Mar 31, 2014 | 426.02 Mn |
| Dec 31, 2013 | 402.48 Mn |
| Sep 30, 2013 | 380.43 Mn |
| Jun 30, 2013 | 339.16 Mn |
| Mar 31, 2013 | 330.93 Mn |
| Dec 31, 2012 | 317.26 Mn |
| Sep 30, 2012 | 326.98 Mn |
| Mar 31, 2012 | 321.69 Mn |
| Dec 31, 2011 | 317.80 Mn |
| Sep 30, 2011 | 314.41 Mn |
Pathward Financial Loans - Net 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=loans-net&ticker=CASH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "ticker": "CASH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=loans-net&ticker=CASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();