Gouverneur Bancorp (GOVB) Return on Sales [ROS] (2022 - 2026)
Gouverneur Bancorp's Return on Sales [ROS] was 29.82% in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.58 percentage points from 30.40% a year earlier but up 1.04 percentage points from the prior quarter.
Gouverneur Bancorp (GOVB) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gouverneur Bancorp's Return on Sales [ROS] was 30.19% through Jun 30, 2026, up 3.32 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 28.17%, up 4.26 percentage points from FY2024.
- Return on Sales [ROS] shows a three-year change of -2.70 percentage points (FY2022 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was 23.92% in FY2024 (+13.44 pp), 10.48% in FY2023 (-20.39 pp) and 30.87% in FY2022.
- Quarterly Return on Sales [ROS] has moved between -2.83% (fiscal Q2 2023) and 33.03% (fiscal Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in seven of the last eight quarters, with an average year-over-year change of +3.70 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q2 2024 (a gain of 23.89 percentage points); the worst was fiscal Q4 2023 (a drop of 11.83 percentage points).
- Per Business Quant data, GOVB's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was 28.78% (Q2 2026), 33.03% (Q1 2026) and 29.04% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 48.15% |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 138.04% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 139.33% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 70.61% |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 84.54% |
| 10 | Gouverneur Bancorp | 22.24 Mn | 22.24 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.82% |
| Mar 31, 2026 | 28.78% |
| Dec 31, 2025 | 33.03% |
| Sep 30, 2025 | 29.04% |
| Jun 30, 2025 | 30.40% |
| Mar 31, 2025 | 25.17% |
| Dec 31, 2024 | 27.87% |
| Sep 30, 2024 | 23.89% |
| Jun 30, 2024 | 29.00% |
| Mar 31, 2024 | 21.06% |
| Dec 31, 2023 | 21.78% |
| Sep 30, 2023 | 19.24% |
| Jun 30, 2023 | 20.32% |
| Mar 31, 2023 | -2.83% |
| Dec 31, 2022 | 2.23% |
| Sep 30, 2022 | 31.07% |
| Jun 30, 2022 | 29.10% |
Gouverneur 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=GOVB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GOVB", "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=GOVB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();