Park National (PRK) Provision for Credit Losses (2009 - 2026)
Park National's Provision for Credit Losses came in at $4.58 million for Q3 2026, up 13.5% from $4.03 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Park National (PRK) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Park National reported Provision for Credit Losses of $15.67 million, up 35.4% year-over-year; for FY2025, it came in at $11.49 million, down 21.0% from FY2024.
- Provision for Credit Losses carries a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Going back by year, Provision for Credit Losses was $14.54 million in FY2024 (+400.8%), $2.9 million in FY2023 (-36.3%), $4.56 million in FY2022 and -$11.92 million in FY2021.
- The five-year range for quarterly Provision for Credit Losses is -$4.99 million (Q4 2021) to $5.32 million (Q3 2024).
- Year-over-year, Provision for Credit Losses has increased for three consecutive quarters, with growth averaging 43.1% over the last eight quarters.
- The fastest year-over-year change in Provision for Credit Losses over five years came in Q1 2026 (growth of 253.4%), and the weakest in Q1 2025 (a decline of 65.3%).
- Business Quant data shows PRK's Provision for Credit Losses at $4.58 million (Q2 2026), $2.67 million (Q1 2026) and $3.85 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Park National | 3.24 Bn | -3.51 Bn | - | -964,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -964,000.00 |
| Jun 30, 2026 | 4.58 Mn |
| Mar 31, 2026 | 2.67 Mn |
| Dec 31, 2025 | 3.85 Mn |
| Sep 30, 2025 | 4.03 Mn |
| Jun 30, 2025 | 2.85 Mn |
| Mar 31, 2025 | 756,000.00 |
| Dec 31, 2024 | 3.94 Mn |
| Sep 30, 2024 | 5.32 Mn |
| Jun 30, 2024 | 3.11 Mn |
| Mar 31, 2024 | 2.18 Mn |
| Dec 31, 2023 | 1.81 Mn |
| Sep 30, 2023 | -1.58 Mn |
| Jun 30, 2023 | 2.49 Mn |
| Mar 31, 2023 | 183,000.00 |
| Dec 31, 2022 | 2.98 Mn |
| Sep 30, 2022 | 3.19 Mn |
| Jun 30, 2022 | 2.99 Mn |
| Mar 31, 2022 | -4.61 Mn |
| Dec 31, 2021 | -4.99 Mn |
API Access
Park National Provision for Credit Losses 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=provision-for-credit-losses&ticker=PRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();