Peoples Financial Services (PFIS) Investment Banking Income (2014 - 2019)
Peoples Financial Services (PFIS) posted Investment Banking Income of $23,000 for Q3 2019, down 39.5% from $38,000 a year earlier but up 21.1% from the prior quarter.
Peoples Financial Services (PFIS) Investment Banking Income (2014 - 2019) Analysis & Trends
For the trailing twelve months through Sep 30, 2019, Investment Banking Income at Peoples Financial Services was $287,000, up 108.0% year-over-year; for FY2018, it came in at $291,000, up 32.9% from FY2017.
- Annual Investment Banking Income shows a four-year compound annual growth rate of -18.1% (FY2014 to FY2018).
- In prior years, Peoples Financial Services' Investment Banking Income was $219,000 in FY2017 (-75.3%), $885,000 in FY2016 (+1.5%), $872,000 in FY2015 (+34.6%) and $648,000 in FY2014.
- Quarterly Investment Banking Income has run from a low of $15,000 in Q1 2018 to a high of $269,000 in Q4 2016 over five years.
- On a year-over-year basis, Investment Banking Income increased in two of the last eight quarters, with growth averaging 6.6%.
- The strongest year-over-year quarter for Investment Banking Income in the past five years was Q4 2015, with growth of 439.5%; the weakest was Q1 2017, with a decline of 81.9%.
- According to Business Quant data, Investment Banking Income for the three prior quarters was $19,000 (Q2 2019), $28,000 (Q1 2019) and $217,000 (Q4 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Investment Banking Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 118.00 Mn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 42.00 Mn |
| 10 | Peoples Financial Services | 693.62 Mn | -351.02 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 23,000.00 |
| Jun 30, 2019 | 19,000.00 |
| Mar 31, 2019 | 28,000.00 |
| Dec 31, 2018 | 217,000.00 |
| Sep 30, 2018 | 38,000.00 |
| Jun 30, 2018 | 21,000.00 |
| Mar 31, 2018 | 15,000.00 |
| Dec 31, 2017 | 64,000.00 |
| Sep 30, 2017 | 46,000.00 |
| Jun 30, 2017 | 72,000.00 |
| Mar 31, 2017 | 37,000.00 |
| Dec 31, 2016 | 269,000.00 |
| Sep 30, 2016 | 217,000.00 |
| Jun 30, 2016 | 195,000.00 |
| Mar 31, 2016 | 204,000.00 |
| Dec 31, 2015 | 205,000.00 |
| Sep 30, 2015 | 198,000.00 |
| Jun 30, 2015 | 247,000.00 |
| Mar 31, 2015 | 222,000.00 |
| Dec 31, 2014 | 38,000.00 |
Peoples Financial Services Investment Banking Income 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=investment-banking-income&ticker=PFIS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "investment-banking-income", "ticker": "PFIS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=investment-banking-income&ticker=PFIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();