Parke Bancorp (PKBK) Property, Plant & Equipment (Net) (2010 - 2026)
Parke Bancorp's Property, Plant & Equipment (Net) was $5.53 million in Q2 2026, down 0.8% from $5.58 million a year earlier but up 1.3% from the prior quarter.
Parke Bancorp (PKBK) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Parke Bancorp came in at $5.51 million, up 3.6% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $5.32 million in FY2024 (-4.7%), $5.58 million in FY2023 (-6.4%), $5.96 million in FY2022 (-4.9%) and $6.27 million in FY2021 (-6.5%).
- Quarterly Property, Plant & Equipment (Net) has moved between $5.32 million (Q4 2024) and $6.37 million (Q3 2021) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in four of the last eight quarters, with an average decline of 0.2%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2025 (growth of 3.9%); the worst was Q3 2021 (a decline of 6.5%).
- Per Business Quant data, PKBK's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $5.46 million (Q1 2026), $5.51 million (Q4 2025) and $5.57 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 | Parke Bancorp | 390.72 Mn | 390.72 Mn | - | 5.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.53 Mn |
| Mar 31, 2026 | 5.46 Mn |
| Dec 31, 2025 | 5.51 Mn |
| Sep 30, 2025 | 5.57 Mn |
| Jun 30, 2025 | 5.58 Mn |
| Mar 31, 2025 | 5.60 Mn |
| Dec 31, 2024 | 5.32 Mn |
| Sep 30, 2024 | 5.37 Mn |
| Jun 30, 2024 | 5.44 Mn |
| Mar 31, 2024 | 5.50 Mn |
| Dec 31, 2023 | 5.58 Mn |
| Sep 30, 2023 | 5.67 Mn |
| Jun 30, 2023 | 5.75 Mn |
| Mar 31, 2023 | 5.84 Mn |
| Dec 31, 2022 | 5.96 Mn |
| Sep 30, 2022 | 6.01 Mn |
| Jun 30, 2022 | 6.09 Mn |
| Mar 31, 2022 | 6.19 Mn |
| Dec 31, 2021 | 6.27 Mn |
| Sep 30, 2021 | 6.37 Mn |
Parke Bancorp 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=PKBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "PKBK", "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=PKBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();