Simmons First National (SFNC) Change in Net Loans (2010 - 2020)
Simmons First National's Change in Net Loans was $269.69 million in Q2 2020, down 5.1% from $284.04 million a year earlier but up 449.2% from the prior quarter.
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Analysis
Simmons First National (SFNC) Change in Net Loans (2010 - 2020) Analysis & Trends
On a trailing twelve-month basis, Simmons First National's Change in Net Loans was -$7.16 million through Jun 30, 2020; for FY2019, it came in at -$23.81 million.
- In earlier years, Change in Net Loans was $912.79 million in FY2018 (+26.9%), $719.22 million in FY2017 (+95.4%), $368.16 million in FY2016 (+22.2%) and $301.32 million in FY2015 (+259.5%).
- Quarterly Change in Net Loans has moved between -$322.82 million (Q4 2019) and $515 million (Q3 2018) over five years.
- Compared with a year earlier, Change in Net Loans was higher in two of the last five quarters, with growth averaging 86.1%.
- The best year-over-year quarter for Change in Net Loans over five years was Q3 2018 (growth of 376.8%); the worst was Q1 2019 (a decline of 87.1%).
- Per Business Quant data, SFNC's Change in Net Loans in the three quarters before Q2 2020 was $49.1 million (Q1 2020), -$322.82 million (Q4 2019) and -$3.14 million (Q3 2019).
Peer Set
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 | Simmons First National | 3.26 Bn | 3.21 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 269.69 Mn |
| Mar 31, 2020 | 49.10 Mn |
| Dec 31, 2019 | -322.82 Mn |
| Sep 30, 2019 | -3.14 Mn |
| Jun 30, 2019 | 284.04 Mn |
| Mar 31, 2019 | 18.12 Mn |
| Dec 31, 2018 | -121.38 Mn |
| Sep 30, 2018 | 515.00 Mn |
| Jun 30, 2018 | 378.37 Mn |
| Mar 31, 2018 | 140.80 Mn |
| Dec 31, 2017 | 270.74 Mn |
| Sep 30, 2017 | 108.02 Mn |
| Jun 30, 2017 | 195.81 Mn |
| Mar 31, 2017 | 144.65 Mn |
| Dec 31, 2016 | 227.92 Mn |
| Sep 30, 2016 | 50.28 Mn |
| Jun 30, 2016 | 83.77 Mn |
| Mar 31, 2016 | 6.20 Mn |
| Dec 31, 2015 | 70.73 Mn |
| Sep 30, 2015 | 54.19 Mn |
API Access
Simmons First National 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=SFNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "ticker": "SFNC", "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=SFNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();