Park National (PRK) Short term Debt (2009 - 2025)
Park National's Short term Debt came in at $81.71 million for Q4 2025, down 70.8% from $280.08 million a year earlier.
Analysis
Park National (PRK) Short term Debt (2009 - 2025) Analysis & Trends
Going back to Q4 2022, Park National's Short term Debt data covers 4 quarters.
- Short term Debt carries a three-year compound annual growth rate of -41.9% (FY2022 to FY2025).
- Going back by year, Short term Debt was $280.08 million in FY2024 (-45.9%), $517.33 million in FY2023 (+24.4%) and $416.01 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 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 | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Park National | 3.24 Bn | -3.51 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 81.71 Mn |
| Dec 31, 2024 | 280.08 Mn |
| Dec 31, 2023 | 517.33 Mn |
| Dec 31, 2022 | 416.01 Mn |
| Jun 30, 2021 | 1.38 Mn |
| Mar 31, 2021 | 1.38 Mn |
| Sep 30, 2020 | 1.27 Mn |
| Mar 31, 2020 | 1.27 Mn |
| Sep 30, 2019 | 1.27 Mn |
| Jun 30, 2019 | 1.27 Mn |
| Dec 31, 2015 | 5.00 Bn |
| Dec 31, 2014 | 4.76 Bn |
| Jun 30, 2014 | 1.38 Mn |
| Mar 31, 2014 | 1.38 Mn |
| Dec 31, 2013 | 4.53 Bn |
| Dec 31, 2012 | 4.35 Bn |
| Mar 31, 2012 | 4.19 Bn |
| Sep 30, 2011 | 1.27 Mn |
| Jun 30, 2011 | 4.51 Bn |
| Mar 31, 2011 | 5.48 Bn |
API Access
Park National Short term Debt 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=short-term-debt&ticker=PRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();