Park National Corp /Oh/ (PRK) Provision for Losses (2009 - 2026)
Analysis
Park National Corp /Oh/ (PRK) Provision for Losses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.58 Mn |
| Mar 31, 2026 | 2.67 Mn |
| Dec 31, 2025 | 3.85 Mn |
| Sep 30, 2025 | 4.03 Mn |
| Jun 30, 2025 | 2.85 Mn |
| Mar 31, 2025 | 756,000.00 |
| Dec 31, 2024 | 3.94 Mn |
| Sep 30, 2024 | 5.32 Mn |
| Jun 30, 2024 | 3.11 Mn |
| Mar 31, 2024 | 2.18 Mn |
| Dec 31, 2023 | 1.81 Mn |
| Sep 30, 2023 | -1.58 Mn |
| Jun 30, 2023 | 2.49 Mn |
| Mar 31, 2023 | 183,000.00 |
| Dec 31, 2022 | 2.98 Mn |
| Sep 30, 2022 | 3.19 Mn |
| Jun 30, 2022 | 2.99 Mn |
| Mar 31, 2022 | -4.61 Mn |
| Dec 31, 2021 | -4.99 Mn |
| Sep 30, 2021 | 1.97 Mn |
API Access
Park National Corp /Oh/ Provision for Losses 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=provision-for-losses&ticker=PRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();