Peapack Gladstone Financial (PGC) Revenue (2010 - 2026)
Peapack Gladstone Financial (PGC) recorded Revenue of $86.05 million in Q2 2026, up 23.4% from $69.74 million a year earlier and up 4.3% from the prior quarter.
Peapack Gladstone Financial (PGC) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Peapack Gladstone Financial's Revenue came in at $317.44 million as of Jun 30, 2026, up 25.7% year-over-year; for FY2025, it came in at $283 million, up 24.1% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $228.13 million in FY2024 (-0.7%), $229.67 million in FY2023 (-5.3%), $242.5 million in FY2022 (+15.3%) and $210.3 million in FY2021 (+11.1%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2010.
- On a year-over-year basis, Revenue has increased for eight consecutive quarters, with growth averaging 20.3% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 28.2% in Q1 2026, against a decline of 16.3% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $82.49 million (Q1 2026), $78.2 million (Q4 2025) and $70.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 13.30 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 | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 22.62 Bn |
| 10 | Peapack Gladstone Financial | 773.29 Mn | 773.29 Mn | - | 86.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.05 Mn |
| Mar 31, 2026 | 82.49 Mn |
| Dec 31, 2025 | 78.20 Mn |
| Sep 30, 2025 | 70.69 Mn |
| Jun 30, 2025 | 69.74 Mn |
| Mar 31, 2025 | 64.36 Mn |
| Dec 31, 2024 | 61.84 Mn |
| Sep 30, 2024 | 56.62 Mn |
| Jun 30, 2024 | 56.60 Mn |
| Mar 31, 2024 | 53.08 Mn |
| Dec 31, 2023 | 54.27 Mn |
| Sep 30, 2023 | 55.87 Mn |
| Jun 30, 2023 | 57.50 Mn |
| Mar 31, 2023 | 62.04 Mn |
| Dec 31, 2022 | 64.85 Mn |
| Sep 30, 2022 | 61.91 Mn |
| Jun 30, 2022 | 61.40 Mn |
| Mar 31, 2022 | 54.34 Mn |
| Dec 31, 2021 | 56.18 Mn |
| Sep 30, 2021 | 52.99 Mn |
Peapack Gladstone Financial Revenue 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=revenue&ticker=PGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();