Park National (PRK) Financial Services Fees (2010 - 2021)
Park National (PRK) posted Financial Services Fees of $4.17 million for Q1 2018, up 48.8% from $2.8 million a year earlier and up 17.4% from the prior quarter.
Park National (PRK) Financial Services Fees (2010 - 2021) Analysis & Trends
For the trailing twelve months through Mar 31, 2018, Financial Services Fees at Park National was $14.53 million, down 0.8% year-over-year; for FY2017, it came in at $13.16 million, down 8.7% from FY2016.
- Annual Financial Services Fees shows a five-year compound annual growth rate of -0.7% (FY2012 to FY2017).
- In prior years, Park National's Financial Services Fees was $14.42 million in FY2016 (+26.1%), $11.44 million in FY2015 (+9.4%), $10.46 million in FY2014 (-19.0%) and $12.91 million in FY2013 (-5.3%).
- The Q1 2018 figure stands as the highest quarterly Financial Services Fees since Q4 2016.
- On a year-over-year basis, Financial Services Fees increased in six of the last eight quarters, with growth averaging 14.8%.
- The strongest year-over-year quarter for Financial Services Fees in the past five years was Q4 2016, with growth of 69.7%; the weakest was Q1 2014, with a decline of 51.9%.
- According to Business Quant data, Financial Services Fees for the three prior quarters was $3.55 million (Q4 2017), $3.36 million (Q3 2017) and $3.45 million (Q2 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Park National | 3.24 Bn | -3.51 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 3,000.00 |
| Mar 31, 2021 | 5,000.00 |
| Mar 31, 2020 | 7,000.00 |
| Sep 30, 2019 | 5,000.00 |
| Jun 30, 2019 | 9,000.00 |
| Mar 31, 2018 | 4.17 Mn |
| Dec 31, 2017 | 3.55 Mn |
| Sep 30, 2017 | 3.36 Mn |
| Jun 30, 2017 | 3.45 Mn |
| Mar 31, 2017 | 2.80 Mn |
| Dec 31, 2016 | 4.85 Mn |
| Sep 30, 2016 | 3.64 Mn |
| Jun 30, 2016 | 3.35 Mn |
| Mar 31, 2016 | 2.57 Mn |
| Dec 31, 2015 | 2.86 Mn |
| Sep 30, 2015 | 3.25 Mn |
| Jun 30, 2015 | 3.03 Mn |
| Mar 31, 2015 | 2.30 Mn |
| Dec 31, 2014 | 3.56 Mn |
| Sep 30, 2014 | 2.45 Mn |
Park National Financial Services Fees 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=financial-services-fees&ticker=PRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "ticker": "PRK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=financial-services-fees&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();