Park National (PRK) Goodwill & Intangibles (2009 - 2026)
Park National (PRK) posted Goodwill & Intangibles of $300.99 million for Q2 2026, up 73.7% from $173.32 million a year earlier but down 0.5% from the prior quarter.
Park National (PRK) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Park National's Goodwill & Intangibles came in at $173.29 million, down 0.1% from FY2024.
- Annual Goodwill & Intangibles has declined for three consecutive years, though with a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- In prior years, Park National's Goodwill & Intangibles was $173.51 million in FY2024 (-0.4%), $174.25 million in FY2023 (-0.6%), $175.39 million in FY2022 (+0.3%) and $174.86 million in FY2021 (+1.8%).
- Quarterly Goodwill & Intangibles has run from a low of $173.26 million in Q3 2025 to a high of $302.57 million in Q1 2026 over five years.
- On a year-over-year basis, Goodwill & Intangibles increased in two of the last eight quarters, with growth averaging 18.3%.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q1 2026, with growth of 74.5%; the weakest was Q2 2023, with a decline of 0.7%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $302.57 million (Q1 2026), $173.29 million (Q4 2025) and $173.26 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - |
| 10 | Park National | 3.30 Bn | -2.72 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 300.99 Mn |
| Mar 31, 2026 | 302.57 Mn |
| Dec 31, 2025 | 173.29 Mn |
| Sep 30, 2025 | 173.26 Mn |
| Jun 30, 2025 | 173.32 Mn |
| Mar 31, 2025 | 173.36 Mn |
| Dec 31, 2024 | 173.51 Mn |
| Sep 30, 2024 | 173.66 Mn |
| Jun 30, 2024 | 173.87 Mn |
| Mar 31, 2024 | 174.03 Mn |
| Dec 31, 2023 | 174.25 Mn |
| Sep 30, 2023 | 174.56 Mn |
| Jun 30, 2023 | 174.83 Mn |
| Mar 31, 2023 | 175.10 Mn |
| Dec 31, 2022 | 175.39 Mn |
| Sep 30, 2022 | 175.79 Mn |
| Jun 30, 2022 | 176.07 Mn |
| Mar 31, 2022 | 175.30 Mn |
| Dec 31, 2021 | 174.86 Mn |
| Sep 30, 2021 | 174.20 Mn |
Park National Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=PRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();