Park National Corp /Oh/ (PRK) Professional Fees (2009 - 2026)
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Analysis
Park National Corp /Oh/ (PRK) Professional Fees (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.73 Mn |
| Mar 31, 2026 | 16.83 Mn |
| Dec 31, 2025 | 9.28 Mn |
| Sep 30, 2025 | 7.48 Mn |
| Jun 30, 2025 | 7.40 Mn |
| Mar 31, 2025 | 7.31 Mn |
| Dec 31, 2024 | 10.47 Mn |
| Sep 30, 2024 | 7.84 Mn |
| Jun 30, 2024 | 6.02 Mn |
| Mar 31, 2024 | 6.82 Mn |
| Dec 31, 2023 | 7.02 Mn |
| Sep 30, 2023 | 7.57 Mn |
| Jun 30, 2023 | 7.37 Mn |
| Mar 31, 2023 | 7.22 Mn |
| Dec 31, 2022 | 9.85 Mn |
| Sep 30, 2022 | 8.36 Mn |
| Jun 30, 2022 | 6.78 Mn |
| Mar 31, 2022 | 5.86 Mn |
| Dec 31, 2021 | 7.84 Mn |
| Sep 30, 2021 | 6.97 Mn |
API Access
Park National Corp /Oh/ Professional Fees 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=professional-fees&ticker=PRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();