Webster Financial (WBS) Change in Net Loans (2010 - 2019)
Webster Financial (WBS) reported Change in Net Loans of $300.28 million for Q3 2019, down 0.8% from $302.77 million a year earlier and down 38.1% from the prior quarter.
Webster Financial (WBS) Change in Net Loans (2010 - 2019) Analysis & Trends
Over the twelve months ended Sep 30, 2019, Webster Financial's Change in Net Loans came in at $1.31 billion, up 41.1% year-over-year; for FY2018, it came in at $990.01 million, up 80.3% from FY2017.
- Change in Net Loans has a five-year compound annual growth rate of 5.9% (FY2013 to FY2018).
- By year, Change in Net Loans came in at $549.21 million in FY2017 (-61.9%), $1.44 billion in FY2016 (-20.6%), $1.81 billion in FY2015 (+42.9%) and $1.27 billion in FY2014 (+71.1%).
- Five-year quarterly Change in Net Loans spans a low of $76.33 million in Q1 2017 and a high of $516.13 million in Q2 2015.
- Year over year, Change in Net Loans gained in six of the last eight quarters, with growth averaging 60.5%.
- The high point for year-over-year Change in Net Loans in five years was Q1 2018 (growth of 278.8%); the low point was Q4 2017 (a decline of 76.1%).
- Per Business Quant data, the three quarters before Q3 2019 came in at $485.26 million (Q2 2019), $361.88 million (Q1 2019) and $163.61 million (Q4 2018).
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 | Webster Financial | 12.57 Bn | 12.57 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 300.28 Mn |
| Jun 30, 2019 | 485.26 Mn |
| Mar 31, 2019 | 361.88 Mn |
| Dec 31, 2018 | 163.61 Mn |
| Sep 30, 2018 | 302.77 Mn |
| Jun 30, 2018 | 234.47 Mn |
| Mar 31, 2018 | 289.17 Mn |
| Dec 31, 2017 | 102.76 Mn |
| Sep 30, 2017 | 183.21 Mn |
| Jun 30, 2017 | 186.91 Mn |
| Mar 31, 2017 | 76.33 Mn |
| Dec 31, 2016 | 429.72 Mn |
| Sep 30, 2016 | 369.50 Mn |
| Jun 30, 2016 | 425.38 Mn |
| Mar 31, 2016 | 215.55 Mn |
| Dec 31, 2015 | 468.00 Mn |
| Sep 30, 2015 | 449.53 Mn |
| Jun 30, 2015 | 516.13 Mn |
| Mar 31, 2015 | 380.16 Mn |
| Dec 31, 2014 | 428.59 Mn |
Webster 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=WBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "ticker": "WBS", "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=WBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();