Park National (PRK) Return on Sales [ROS] (2009 - 2026)
Park National's Return on Sales [ROS] came in at 316.01% for Q2 2026, down 27.72 percentage points from 343.74% a year earlier but up 14.73 percentage points from the prior quarter.
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Analysis
Park National (PRK) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Park National reported Return on Sales [ROS] of 420.67%, down 46.13 percentage points year-over-year; for FY2025, it came in at 467.34%, down 22.39 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +220.79 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 489.73% in FY2024 (+24.65 pp), 465.08% in FY2023 (+109.23 pp), 355.85% in FY2022 (+76.48 pp) and 279.36% in FY2021 (+32.82 pp).
- The five-year range for quarterly Return on Sales [ROS] is 151.45% (Q3 2021) to 505.14% (Q4 2023).
- Year-over-year, Return on Sales [ROS] has declined for eight consecutive quarters, with an average year-over-year change of -24.50 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2022 (a gain of 150.80 percentage points), and the weakest in Q1 2026 (a drop of 55.71 percentage points).
- Business Quant data shows PRK's Return on Sales [ROS] at 301.28% (Q1 2026), 468.67% (Q4 2025) and 344.01% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Park National | 3.30 Bn | -2.72 Bn | - | 59.60% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.60% |
| Mar 31, 2026 | 50.58% |
| Dec 31, 2025 | 53.11% |
| Sep 30, 2025 | 60.76% |
| Jun 30, 2025 | 61.52% |
| Mar 31, 2025 | 60.73% |
| Dec 31, 2024 | 57.62% |
| Sep 30, 2024 | 57.64% |
| Jun 30, 2024 | 62.70% |
| Mar 31, 2024 | 60.28% |
| Dec 31, 2023 | 54.14% |
| Sep 30, 2023 | 59.33% |
| Jun 30, 2023 | 52.59% |
| Mar 31, 2023 | 50.27% |
| Dec 31, 2022 | 45.10% |
| Sep 30, 2022 | 44.03% |
| Jun 30, 2022 | 40.39% |
| Mar 31, 2022 | 45.76% |
| Dec 31, 2021 | 42.02% |
| Sep 30, 2021 | 41.55% |
API Access
Park National 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=PRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=PRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();