Parke Bancorp (PKBK) Mortgage Banking (2010 - 2026)
Parke Bancorp's (PKBK) quarterly Mortgage Banking came in at $278000.0 in Q2 2026, down 10.9% year-over-year from $312000.0 in Q2 2025, and down 3.81% quarter-over-quarter from $289000.0 in Q1 2026.
Parke Bancorp (PKBK) Mortgage Banking (2010 - 2026) Analysis & Trends
Parke Bancorp has disclosed Mortgage Banking across 17 years of filings, most recently posting $278000.0 for Q2 2026.
- In Q2 2026, Mortgage Banking fell 10.9% year-over-year to $278000.0; the TTM figure through Jun 2026 stood at $1.2 million (down 7.09% YoY), while the FY2025 annual figure was $1.2 million, down 11.18% from the prior year.
- Mortgage Banking came in at $278000.0 for Q2 2026 at Parke Bancorp, down from $289000.0 in the prior quarter.
- In the past five years, Mortgage Banking ranged from a high of $1.3 million in Q1 2022 to a low of $278000.0 in Q2 2026.
- Average Mortgage Banking over 5 years is $665833.3, with a median of $369000.0 recorded in 2024.
- Year-over-year, Mortgage Banking advanced 8.33% in 2022 and sank 68.81% in 2024.
- Over 5 years, Mortgage Banking stood at $1.2 million in 2022, then plunged by 37.94% to $723000.0 in 2023, then sank by 54.63% to $328000.0 in 2024, then decreased by 6.4% to $307000.0 in 2025, then retreated by 9.45% to $278000.0 in 2026.
- Per Business Quant data, the three most recent Mortgage Banking figures were $278000.0 in Q2 2026, $289000.0 in Q1 2026, and $307000.0 in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Banco Santander Chile | 433.80 Bn | 553.74 Bn | - |
| 2 | Truist Financial | 59.87 Bn | 59.87 Bn | - |
| 3 | Fifth Third Bancorp | 48.33 Bn | 24.61 Bn | - |
| 4 | M&T Bank | 32.77 Bn | 32.77 Bn | - |
| 5 | Huntington Bancshares | 32.41 Bn | 27.92 Bn | - |
| 6 | Citizens Financial | 28.48 Bn | 28.48 Bn | - |
| 7 | Regions Financial | 24.32 Bn | 24.39 Bn | - |
| 8 | Keycorp | 22.28 Bn | -25.41 Bn | - |
| 9 | First Citizens Bancshares | 22.03 Bn | 21.51 Bn | 29.00 Mn |
| 10 | Parke Bancorp | 399.18 Mn | 194.46 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 278,000.00 |
| Mar 31, 2026 | 289,000.00 |
| Dec 31, 2025 | 307,000.00 |
| Sep 30, 2025 | 305,000.00 |
| Jun 30, 2025 | 312,000.00 |
| Mar 31, 2025 | 308,000.00 |
| Dec 31, 2024 | 328,000.00 |
| Sep 30, 2024 | 321,000.00 |
| Jun 30, 2024 | 359,000.00 |
| Mar 31, 2024 | 379,000.00 |
| Dec 31, 2023 | 723,000.00 |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 931,000.00 |
| Mar 31, 2023 | 1.22 Mn |
| Dec 31, 2022 | 1.17 Mn |
| Sep 30, 2022 | 1.13 Mn |
| Jun 30, 2022 | 1.31 Mn |
| Mar 31, 2022 | 1.32 Mn |
| Dec 31, 2021 | 1.49 Mn |
| Sep 30, 2021 | 1.35 Mn |
Parke Bancorp Mortgage Banking 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=mortgage-banking&ticker=PKBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "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=mortgage-banking&ticker=PKBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();