Park National (PRK) Change in Net Loans (2009 - 2026)
Park National's Change in Net Loans came in at $56.68 million for Q2 2026, down 28.4% from $79.12 million a year earlier but up 45.7% from the prior quarter.
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Analysis
Park National (PRK) Change in Net Loans (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Park National reported Change in Net Loans of $184.05 million, down 38.7% year-over-year; for FY2025, it came in at $233.08 million, down 31.7% from FY2024.
- Change in Net Loans carries a five-year compound annual growth rate of -17.8% (FY2020 to FY2025).
- Going back by year, Change in Net Loans was $341.5 million in FY2024 (+3.3%), $330.44 million in FY2023 (+20.8%), $273.53 million in FY2022 and -$312.19 million in FY2021.
- The five-year range for quarterly Change in Net Loans is -$136.33 million (Q3 2021) to $143.43 million (Q2 2022).
- Year-over-year, Change in Net Loans has declined for five consecutive quarters, with an average decline of 31.3% over the last eight quarters.
- The fastest year-over-year change in Change in Net Loans over five years came in Q4 2023 (growth of 222.3%), and the weakest in Q3 2025 (a decline of 55.8%).
- Business Quant data shows PRK's Change in Net Loans at $38.9 million (Q1 2026), $58.04 million (Q4 2025) and $30.43 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 56.27 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 | - | 8.09 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 14.56 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 20.45 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Park National | 3.24 Bn | -3.51 Bn | - | 46.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.67 Mn |
| Jun 30, 2026 | 56.68 Mn |
| Mar 31, 2026 | 38.90 Mn |
| Dec 31, 2025 | 58.55 Mn |
| Sep 30, 2025 | 29.92 Mn |
| Jun 30, 2025 | 79.12 Mn |
| Mar 31, 2025 | 65.50 Mn |
| Dec 31, 2024 | 86.56 Mn |
| Sep 30, 2024 | 68.90 Mn |
| Jun 30, 2024 | 136.51 Mn |
| Mar 31, 2024 | 49.53 Mn |
| Dec 31, 2023 | 126.62 Mn |
| Sep 30, 2023 | 141.42 Mn |
| Jun 30, 2023 | 112.59 Mn |
| Mar 31, 2023 | -50.19 Mn |
| Dec 31, 2022 | 39.29 Mn |
| Sep 30, 2022 | 143.29 Mn |
| Jun 30, 2022 | 143.43 Mn |
| Mar 31, 2022 | -52.47 Mn |
| Dec 31, 2021 | -42.82 Mn |
API Access
Park National Change in Net Loans 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=change-in-net-loans&ticker=PRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();