Park National (PRK) Enterprise Value (2009 - 2026)
Park National (PRK) posted Enterprise Value of $3.23 billion for Q3 2026, up 105.0% from $1.58 billion a year earlier and up 120.5% from the prior quarter.
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Analysis
Park National (PRK) Enterprise Value (2009 - 2026) Analysis & Trends
For FY2025, Park National's Enterprise Value came in at $1.83 billion, up 13.3% from FY2024.
- Annual Enterprise Value has increased for four consecutive years, with a five-year compound annual growth rate of 45.2% (FY2020 to FY2025).
- In prior years, Park National's Enterprise Value was $1.61 billion in FY2024 (+173.3%), $590.13 million in FY2023 (+61.4%), $365.68 million in FY2022 (+44.1%) and $253.79 million in FY2021 (-10.4%).
- The Q3 2026 figure stands as the highest quarterly Enterprise Value in data going back to Q2 2009.
- On a year-over-year basis, Enterprise Value increased in six of the last eight quarters, with growth averaging 54.5%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q4 2024, with growth of 173.3%; the weakest was Q1 2026, with a decline of 42.2%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $1.47 billion (Q2 2026), $737 million (Q1 2026) and $1.83 billion (Q4 2025).
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 |
|---|---|
| Sep 30, 2026 | 1.47 Bn |
| Jun 30, 2026 | 1.47 Bn |
| Mar 31, 2026 | 737.00 Mn |
| Dec 31, 2025 | 1.83 Bn |
| Sep 30, 2025 | 1.58 Bn |
| Jun 30, 2025 | 1.54 Bn |
| Mar 31, 2025 | 1.28 Bn |
| Dec 31, 2024 | 1.61 Bn |
| Sep 30, 2024 | 1.38 Bn |
| Jun 30, 2024 | 866.85 Mn |
| Mar 31, 2024 | 639.04 Mn |
| Dec 31, 2023 | 590.13 Mn |
| Sep 30, 2023 | -309.44 Mn |
| Jun 30, 2023 | -246.44 Mn |
| Mar 31, 2023 | -58.08 Mn |
| Dec 31, 2022 | 365.68 Mn |
| Sep 30, 2022 | 74.93 Mn |
| Jun 30, 2022 | -114.77 Mn |
| Mar 31, 2022 | 130.79 Mn |
| Dec 31, 2021 | 253.79 Mn |
API Access
Park National Enterprise Value 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=enterprise-value&ticker=PRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();