Peapack Gladstone Financial (PGC) Interest Expenses (2010 - 2026)
Peapack Gladstone Financial's Interest Expenses was $71.44 million in Q2 2026, down 13.1% from $82.2 million a year earlier but up 103.2% from the prior quarter.
Peapack Gladstone Financial (PGC) Interest Expenses (2010 - 2026) Analysis & Trends
For FY2025, Interest Expenses at Peapack Gladstone Financial came in at $161.62 million, down 9.6% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 33.5% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $178.8 million in FY2024 (+20.9%), $147.92 million in FY2023 (+313.2%), $35.8 million in FY2022 (+62.7%) and $22.01 million in FY2021 (-42.3%).
- Quarterly Interest Expenses has moved between $4.52 million (Q1 2022) and $82.2 million (Q2 2025) over five years.
- Compared with a year earlier, Interest Expenses has declined for four straight quarters, with growth averaging 4.6% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q2 2023 (growth of 538.5%); the worst was Q3 2021 (a decline of 39.5%).
- Per Business Quant data, PGC's Interest Expenses in the three quarters before Q2 2026 was $35.15 million (Q1 2026), $37.44 million (Q4 2025) and $41.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Peapack Gladstone Financial | 773.29 Mn | 773.29 Mn | - | 71.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.44 Mn |
| Mar 31, 2026 | 35.15 Mn |
| Dec 31, 2025 | 37.44 Mn |
| Sep 30, 2025 | 41.97 Mn |
| Jun 30, 2025 | 82.20 Mn |
| Mar 31, 2025 | 40.84 Mn |
| Dec 31, 2024 | 44.26 Mn |
| Sep 30, 2024 | 45.52 Mn |
| Jun 30, 2024 | 44.20 Mn |
| Mar 31, 2024 | 44.82 Mn |
| Dec 31, 2023 | 43.50 Mn |
| Sep 30, 2023 | 41.97 Mn |
| Jun 30, 2023 | 35.93 Mn |
| Mar 31, 2023 | 26.51 Mn |
| Dec 31, 2022 | 16.16 Mn |
| Sep 30, 2022 | 9.49 Mn |
| Jun 30, 2022 | 5.63 Mn |
| Mar 31, 2022 | 4.52 Mn |
| Dec 31, 2021 | 4.86 Mn |
| Sep 30, 2021 | 4.86 Mn |
Peapack Gladstone Financial Interest Expenses 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=interest-expenses&ticker=PGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=PGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();