Pathward Financial (CASH) Change in Net Loans (2011 - 2019)
Pathward Financial's Change in Net Loans came in at $61.57 million for fiscal Q4 2019 (quarter ended Sep 30, 2019), down 75.8% from $254.7 million a year earlier and down 52.9% from the prior quarter.
Pathward Financial (CASH) Change in Net Loans (2011 - 2019) Analysis & Trends
For FY2019 (ended Sep 30, 2019), Pathward Financial's Change in Net Loans was $591.79 million, up 19.9% from FY2018.
- Change in Net Loans has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 42.2% (FY2014 to FY2019).
- Going back by fiscal year, Change in Net Loans was $493.38 million in FY2018 (+79.5%), $274.84 million in FY2017 (+26.1%), $217.99 million in FY2016 (+49.2%) and $146.11 million in FY2015 (+43.8%).
- The fiscal Q4 2019 figure represents the lowest quarterly Change in Net Loans since fiscal Q2 2018.
- Year-over-year, Change in Net Loans increased in six of the last eight quarters, with growth averaging 76.6%.
- The fastest year-over-year change in Change in Net Loans over five years came in fiscal Q4 2015 (growth of 383.3%), and the weakest in fiscal Q4 2019 (a decline of 75.8%).
- Business Quant data shows CASH's Change in Net Loans at $130.84 million (Q3 2019), $99.98 million (Q2 2019) and $299.4 million (Q1 2019) in the three fiscal quarters before Q4 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (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 | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | -19.63 Bn |
| 10 | Pathward Financial | 1.53 Bn | 772.86 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 61.57 Mn |
| Jun 30, 2019 | 130.84 Mn |
| Mar 31, 2019 | 99.98 Mn |
| Dec 31, 2018 | 299.40 Mn |
| Sep 30, 2018 | 254.70 Mn |
| Jun 30, 2018 | 94.91 Mn |
| Mar 31, 2018 | 28.94 Mn |
| Dec 31, 2017 | 114.83 Mn |
| Sep 30, 2017 | 106.30 Mn |
| Jun 30, 2017 | 65.96 Mn |
| Mar 31, 2017 | 43.57 Mn |
| Dec 31, 2016 | 59.01 Mn |
| Sep 30, 2016 | 65.59 Mn |
| Jun 30, 2016 | 79.15 Mn |
| Mar 31, 2016 | 41.58 Mn |
| Dec 31, 2015 | 31.66 Mn |
| Sep 30, 2015 | 54.82 Mn |
| Jun 30, 2015 | 44.51 Mn |
| Mar 31, 2015 | 23.53 Mn |
| Dec 31, 2014 | 23.26 Mn |
Pathward 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=CASH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=CASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();