Greene County Bancorp (GCBC) Return on Sales [ROS] (2009 - 2026)
Greene County Bancorp's Return on Sales [ROS] came in at 100.93% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 21.14 percentage points from 122.08% a year earlier and down 1.86 percentage points from the prior quarter.
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Analysis
Greene County Bancorp (GCBC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Greene County Bancorp's Return on Sales [ROS] was 108.06%, down 14.36 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of +55.85 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 122.42% in FY2025 (-0.10 pp), 122.53% in FY2024 (+41.79 pp), 80.74% in FY2023 (+26.07 pp) and 54.67% in FY2022 (+2.45 pp).
- The fiscal Q4 2026 figure represents the lowest quarterly Return on Sales [ROS] since fiscal Q4 2023.
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -7.10 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2024 (a gain of 53.08 percentage points), and the weakest in fiscal Q4 2026 (a drop of 21.14 percentage points).
- Business Quant data shows GCBC's Return on Sales [ROS] at 102.79% (Q3 2026), 117.02% (Q2 2026) and 112.95% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Greene County Bancorp | 609.85 Mn | 191.29 Mn | - | 109.44% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 109.44% |
| Jun 30, 2026 | 100.93% |
| Mar 31, 2026 | 102.79% |
| Dec 31, 2025 | 117.02% |
| Sep 30, 2025 | 112.95% |
| Jun 30, 2025 | 122.08% |
| Mar 31, 2025 | 112.17% |
| Dec 31, 2024 | 130.57% |
| Sep 30, 2024 | 126.37% |
| Jun 30, 2024 | 128.51% |
| Mar 31, 2024 | 127.07% |
| Dec 31, 2023 | 123.38% |
| Sep 30, 2023 | 111.54% |
| Jun 30, 2023 | 95.14% |
| Mar 31, 2023 | 87.94% |
| Dec 31, 2022 | 70.29% |
| Sep 30, 2022 | 70.99% |
| Jun 30, 2022 | 52.87% |
| Mar 31, 2022 | 57.28% |
| Dec 31, 2021 | 53.32% |
API Access
Greene County 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=GCBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GCBC", "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=GCBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();