Peapack Gladstone Financial (PGC) Financial Services Fees (2017 - 2026)
Peapack Gladstone Financial (PGC) posted Financial Services Fees of $5.91 million for Q2 2026, up 104.7% from $2.89 million a year earlier.
Analysis
Peapack Gladstone Financial (PGC) Financial Services Fees (2017 - 2026) Analysis & Trends
For FY2025, Peapack Gladstone Financial's Financial Services Fees came in at $492,000.
- Annual Financial Services Fees shows a five-year compound annual growth rate of -21.2% (FY2020 to FY2025).
- In prior years, Peapack Gladstone Financial's Financial Services Fees was $293,000 in FY2022.
- The Q2 2026 figure stands as the highest quarterly Financial Services Fees in data going back to Q1 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Peapack Gladstone Financial | 773.29 Mn | 773.29 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.91 Mn |
| Dec 31, 2025 | 271,000.00 |
| Sep 30, 2025 | 221,000.00 |
| Jun 30, 2025 | 2.89 Mn |
| Jun 30, 2020 | 1.62 Mn |
| Mar 31, 2020 | 1.42 Mn |
| Dec 31, 2019 | 2.46 Mn |
| Sep 30, 2019 | 3.34 Mn |
| Jun 30, 2019 | 991,000.00 |
| Mar 31, 2019 | 270,000.00 |
| Dec 31, 2018 | 3.19 Mn |
| Sep 30, 2018 | 218,000.00 |
| Jun 30, 2018 | 220,000.00 |
| Mar 31, 2018 | 215,000.00 |
| Dec 31, 2017 | 2.15 Mn |
| Sep 30, 2017 | 215,000.00 |
| Jun 30, 2017 | 202,000.00 |
| Mar 31, 2017 | 246,000.00 |
API Access
Peapack Gladstone Financial 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=PGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "ticker": "PGC", "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=PGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();