Park National (PRK) Property, Plant & Equipment (Net) (2009 - 2026)
Park National's Property, Plant & Equipment (Net) was $96.43 million in Q2 2026, up 50.2% from $64.21 million a year earlier and up 3.5% from the prior quarter.
Park National (PRK) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Park National came in at $61.63 million, down 11.4% from FY2024.
- Property, Plant & Equipment (Net) has now declined for four consecutive years, with a five-year compound annual growth rate of -7.0% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $69.52 million in FY2024 (-6.3%), $74.21 million in FY2023 (-9.6%), $82.13 million in FY2022 (-7.7%) and $89.01 million in FY2021 (+0.4%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2009.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in two of the last eight quarters, with growth averaging 3.9%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2026 (growth of 50.2%); the worst was Q3 2025 (a decline of 12.3%).
- Per Business Quant data, PRK's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $93.13 million (Q1 2026), $61.63 million (Q4 2025) and $62.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 37.70 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 12.79 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 | - | 4.96 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 8.82 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 11.63 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 7.28 Bn |
| 10 | Park National | 3.30 Bn | -2.72 Bn | - | 96.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 96.43 Mn |
| Mar 31, 2026 | 93.13 Mn |
| Dec 31, 2025 | 61.63 Mn |
| Sep 30, 2025 | 62.18 Mn |
| Jun 30, 2025 | 64.21 Mn |
| Mar 31, 2025 | 66.33 Mn |
| Dec 31, 2024 | 69.52 Mn |
| Sep 30, 2024 | 70.94 Mn |
| Jun 30, 2024 | 72.13 Mn |
| Mar 31, 2024 | 73.82 Mn |
| Dec 31, 2023 | 74.21 Mn |
| Sep 30, 2023 | 77.33 Mn |
| Jun 30, 2023 | 78.93 Mn |
| Mar 31, 2023 | 81.22 Mn |
| Dec 31, 2022 | 82.13 Mn |
| Sep 30, 2022 | 84.67 Mn |
| Jun 30, 2022 | 85.53 Mn |
| Mar 31, 2022 | 87.42 Mn |
| Dec 31, 2021 | 89.01 Mn |
| Sep 30, 2021 | 88.91 Mn |
Park National Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();