Park National (PRK) Total Liabilities (2009 - 2026)
Park National's Total Liabilities came in at $10.95 billion for Q2 2026, up 26.5% from $8.66 billion a year earlier but down 3.0% from the prior quarter.
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Analysis
Park National (PRK) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Park National's Total Liabilities was $8.45 billion, down 1.3% from FY2024.
- Total Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $8.56 billion in FY2024 (-1.5%), $8.69 billion in FY2023 (-1.1%), $8.79 billion in FY2022 (+4.0%) and $8.45 billion in FY2021 (+2.6%).
- The five-year range for quarterly Total Liabilities is $8.45 billion (Q4 2021) to $11.28 billion (Q1 2026).
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with growth averaging 6.0%.
- The fastest year-over-year change in Total Liabilities over five years came in Q1 2026 (growth of 31.1%), and the weakest in Q1 2022 (a decline of 4.2%).
- Business Quant data shows PRK's Total Liabilities at $11.28 billion (Q1 2026), $8.45 billion (Q4 2025) and $8.53 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 2,055.50 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 2,075.41 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2,571.74 Bn |
| 10 | Park National | 3.24 Bn | -3.51 Bn | - | 10.93 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.93 Bn |
| Jun 30, 2026 | 10.95 Bn |
| Mar 31, 2026 | 11.28 Bn |
| Dec 31, 2025 | 8.45 Bn |
| Sep 30, 2025 | 8.53 Bn |
| Jun 30, 2025 | 8.66 Bn |
| Mar 31, 2025 | 8.61 Bn |
| Dec 31, 2024 | 8.56 Bn |
| Sep 30, 2024 | 8.66 Bn |
| Jun 30, 2024 | 8.74 Bn |
| Mar 31, 2024 | 8.72 Bn |
| Dec 31, 2023 | 8.69 Bn |
| Sep 30, 2023 | 8.92 Bn |
| Jun 30, 2023 | 8.81 Bn |
| Mar 31, 2023 | 8.77 Bn |
| Dec 31, 2022 | 8.79 Bn |
| Sep 30, 2022 | 8.82 Bn |
| Jun 30, 2022 | 8.78 Bn |
| Mar 31, 2022 | 8.50 Bn |
| Dec 31, 2021 | 8.45 Bn |
API Access
Park National Total Liabilities 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=total-liabilities&ticker=PRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();