Peapack Gladstone Financial (PGC) Provisions (2010 - 2026)
Peapack Gladstone Financial's Provisions was $8.01 million in Q2 2026, up 21.8% from $6.58 million a year earlier and up 9.3% from the prior quarter.
Peapack Gladstone Financial (PGC) Provisions (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Peapack Gladstone Financial's Provisions was $27.87 million through Jun 30, 2026, up 98.6% year-over-year; for FY2025, it was $23.6 million, up 214.7% from FY2024.
- Provisions shows a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- In earlier years, Provisions was $7.5 million in FY2024 (-47.0%), $14.16 million in FY2023 (+122.8%), $6.35 million in FY2022 (-1.9%) and $6.48 million in FY2021 (-80.0%).
- The Q2 2026 figure marks the highest quarterly Provisions since Q1 2020.
- Compared with a year earlier, Provisions has increased for six straight quarters, with growth averaging 157.9% over the last eight quarters.
- The best year-over-year quarter for Provisions over five years was Q1 2022 (growth of 955.6%); the worst was Q3 2024 (a decline of 79.0%).
- Per Business Quant data, PGC's Provisions in the three quarters before Q2 2026 was $7.33 million (Q1 2026), $7.66 million (Q4 2025) and $4.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 914.00 Mn |
| 10 | Peapack Gladstone Financial | 773.29 Mn | 773.29 Mn | - | 8.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.01 Mn |
| Mar 31, 2026 | 7.33 Mn |
| Dec 31, 2025 | 7.66 Mn |
| Sep 30, 2025 | 4.87 Mn |
| Jun 30, 2025 | 6.58 Mn |
| Mar 31, 2025 | 4.49 Mn |
| Dec 31, 2024 | 1.74 Mn |
| Sep 30, 2024 | 1.23 Mn |
| Jun 30, 2024 | 3.91 Mn |
| Mar 31, 2024 | 627,000.00 |
| Dec 31, 2023 | 5.03 Mn |
| Sep 30, 2023 | 5.86 Mn |
| Jun 30, 2023 | 1.70 Mn |
| Mar 31, 2023 | 1.51 Mn |
| Dec 31, 2022 | 1.93 Mn |
| Sep 30, 2022 | 599,000.00 |
| Jun 30, 2022 | 1.45 Mn |
| Mar 31, 2022 | 2.38 Mn |
| Dec 31, 2021 | 3.75 Mn |
| Sep 30, 2021 | 1.60 Mn |
Peapack Gladstone Financial Provisions 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=provisions&ticker=PGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=PGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();