Hanover Bancorp (HNVR) Return on Sales [ROS] (2020 - 2026)
Hanover Bancorp (HNVR) posted Return on Sales [ROS] of 105.86% for Q2 2026, down 6.56 percentage points from 112.43% a year earlier but up 6.94 percentage points from the prior quarter.
Hanover Bancorp (HNVR) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Hanover Bancorp was 104.89%, down 19.07 percentage points year-over-year; for FY2025, it was 109.05%, down 31.69 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +41.56 percentage points (FY2020 to FY2025).
- In prior years, Hanover Bancorp's Return on Sales [ROS] was 140.74% in FY2024 (-7.18 pp), 147.92% in FY2023, 53.72% in FY2022 (+7.07 pp) and 46.65% in FY2021 (-20.84 pp).
- Quarterly Return on Sales [ROS] has run from a low of 17.62% in Q3 2021 to a high of 150.83% in Q2 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last four quarters, with an average year-over-year change of -1.42 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2023, with a gain of 82.60 percentage points; the weakest was Q3 2021, with a drop of 57.30 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 98.92% (Q1 2026), 90.91% (Q4 2025) and 124.62% (Q3 2025).
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 | Hanover Bancorp | 151.56 Mn | -535.61 Mn | - | 113.90% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 113.90% |
| Jun 30, 2026 | 105.86% |
| Mar 31, 2026 | 98.92% |
| Dec 31, 2025 | 90.91% |
| Sep 30, 2025 | 124.62% |
| Jun 30, 2025 | 112.43% |
| Mar 31, 2025 | 108.78% |
| Sep 30, 2024 | 150.26% |
| Jun 30, 2024 | 126.46% |
| Mar 31, 2024 | 150.83% |
| Sep 30, 2023 | 140.86% |
| Jun 30, 2023 | 125.12% |
| Mar 31, 2023 | 97.68% |
| Dec 31, 2022 | 85.23% |
| Sep 30, 2022 | 58.26% |
| Jun 30, 2022 | 50.20% |
| Mar 31, 2022 | 50.28% |
| Dec 31, 2021 | 55.70% |
| Sep 30, 2021 | 60.63% |
| Jun 30, 2021 | 17.62% |
Hanover 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=HNVR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "HNVR", "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=HNVR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();