Peapack Gladstone Financial (PGC) Return on Sales [ROS] (2010 - 2026)
Peapack Gladstone Financial's Return on Sales [ROS] was 108.93% in Q2 2026, down 25.08 percentage points from 134.01% a year earlier but up 42.41 percentage points from the prior quarter.
Peapack Gladstone Financial (PGC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Peapack Gladstone Financial's Return on Sales [ROS] was 81.47% through Jun 30, 2026, down 20.49 percentage points year-over-year; for FY2025, it was 16.11%, up 9.08 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +9.25 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 7.03% in FY2024 (-9.26 pp), 16.30% in FY2023 (+6.81 pp), 9.49% in FY2022 (-37.91 pp) and 47.39% in FY2021 (+40.53 pp).
- Quarterly Return on Sales [ROS] has moved between 41.06% (Q1 2022) and 134.01% (Q2 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for four straight quarters, with an average year-over-year change of -9.80 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2023 (a gain of 41.90 percentage points); the worst was Q1 2025 (a drop of 28.13 percentage points).
- Per Business Quant data, PGC's Return on Sales [ROS] in the three quarters before Q2 2026 was 66.53% (Q1 2026), 69.61% (Q4 2025) and 78.62% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Peapack Gladstone Financial | 780.56 Mn | 780.56 Mn | - | 108.93% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.93% |
| Mar 31, 2026 | 66.53% |
| Dec 31, 2025 | 69.61% |
| Sep 30, 2025 | 78.62% |
| Jun 30, 2025 | 134.01% |
| Mar 31, 2025 | 79.69% |
| Dec 31, 2024 | 91.36% |
| Sep 30, 2024 | 99.38% |
| Jun 30, 2024 | 94.98% |
| Mar 31, 2024 | 107.82% |
| Dec 31, 2023 | 101.59% |
| Sep 30, 2023 | 97.68% |
| Jun 30, 2023 | 93.99% |
| Mar 31, 2023 | 82.96% |
| Dec 31, 2022 | 70.42% |
| Sep 30, 2022 | 60.15% |
| Jun 30, 2022 | 53.61% |
| Mar 31, 2022 | 41.06% |
| Dec 31, 2021 | 45.54% |
| Sep 30, 2021 | 45.41% |
Peapack Gladstone Financial 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=PGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PGC", "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=PGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();