Park National (PRK) Loans - Loss Allowance (2009 - 2026)
Park National (PRK) recorded Loans - Loss Allowance of $110.69 million in Q2 2026, up 23.3% from $89.79 million a year earlier and up 1.9% from the prior quarter.
Park National (PRK) Loans - Loss Allowance (2009 - 2026) Analysis & Trends
At the end of FY2025, Park National reported Loans - Loss Allowance of $92.97 million, up 5.7% from FY2024.
- Annual Loans - Loss Allowance has a five-year compound annual growth rate of 1.6% (FY2020 to FY2025).
- Across earlier years, Loans - Loss Allowance came in at $87.97 million in FY2024 (+5.0%), $83.75 million in FY2023 (-1.9%), $85.38 million in FY2022 (+2.6%) and $83.2 million in FY2021 (-2.9%).
- The Q2 2026 figure is the highest quarterly Loans - Loss Allowance since Q2 2011.
- On a year-over-year basis, Loans - Loss Allowance has increased for eight consecutive quarters, with growth averaging 9.1% over the last eight quarters.
- Peak year-over-year performance for Loans - Loss Allowance in the last five years was growth of 23.3% in Q2 2026, against a decline of 9.2% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $108.59 million (Q1 2026), $92.97 million (Q4 2025) and $91.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 26.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 13.01 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | -5.30 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.82 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | -7.49 Bn |
| 10 | Park National | 3.24 Bn | -3.51 Bn | - | 109.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 109.87 Mn |
| Jun 30, 2026 | 110.69 Mn |
| Mar 31, 2026 | 108.59 Mn |
| Dec 31, 2025 | 92.97 Mn |
| Sep 30, 2025 | 91.76 Mn |
| Jun 30, 2025 | 89.79 Mn |
| Mar 31, 2025 | 88.13 Mn |
| Dec 31, 2024 | 87.97 Mn |
| Sep 30, 2024 | 87.24 Mn |
| Jun 30, 2024 | 86.58 Mn |
| Mar 31, 2024 | 85.08 Mn |
| Dec 31, 2023 | 83.75 Mn |
| Sep 30, 2023 | 84.60 Mn |
| Jun 30, 2023 | 87.21 Mn |
| Mar 31, 2023 | 85.95 Mn |
| Dec 31, 2022 | 85.38 Mn |
| Sep 30, 2022 | 83.96 Mn |
| Jun 30, 2022 | 81.45 Mn |
| Mar 31, 2022 | 78.86 Mn |
| Dec 31, 2021 | 83.20 Mn |
Park National Loans - Loss Allowance 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=loans-loss-allowance&ticker=PRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();