Parke Bancorp (PKBK) Return on Sales [ROS] (2010 - 2026)
Parke Bancorp (PKBK) recorded Return on Sales [ROS] of 132.84% in Q2 2026, down 17.94 percentage points from 150.78% a year earlier but up 0.68 percentage points from the prior quarter.
Parke Bancorp (PKBK) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Parke Bancorp's Return on Sales [ROS] came in at 134.65% as of Jun 30, 2026, down 25.87 percentage points year-over-year; for FY2025, it came in at 144.78%, down 18.22 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +53.81 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 163.00% in FY2024 (+41.46 pp), 121.54% in FY2023 (+35.59 pp), 85.95% in FY2022 (-1.15 pp) and 87.11% in FY2021 (-3.86 pp).
- Quarterly Return on Sales [ROS] has ranged from 81.95% in Q3 2022 to 171.52% in Q3 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -1.80 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 87.04 percentage points in Q3 2024, against a drop of 31.43 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 132.16% (Q1 2026), 132.31% (Q4 2025) and 141.96% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Parke Bancorp | 390.72 Mn | 390.72 Mn | - | 132.84% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.84% |
| Mar 31, 2026 | 132.16% |
| Dec 31, 2025 | 132.31% |
| Sep 30, 2025 | 141.96% |
| Jun 30, 2025 | 150.78% |
| Mar 31, 2025 | 158.02% |
| Dec 31, 2024 | 163.73% |
| Sep 30, 2024 | 171.52% |
| Jun 30, 2024 | 159.04% |
| Mar 31, 2024 | 157.45% |
| Dec 31, 2023 | 152.65% |
| Sep 30, 2023 | 84.48% |
| Jun 30, 2023 | 125.93% |
| Mar 31, 2023 | 123.84% |
| Dec 31, 2022 | 95.59% |
| Sep 30, 2022 | 81.95% |
| Jun 30, 2022 | 82.77% |
| Mar 31, 2022 | 83.61% |
| Dec 31, 2021 | 85.46% |
| Sep 30, 2021 | 88.16% |
Parke Bancorp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PKBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PKBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();