Orange County Bancorp (OBT) Return on Sales [ROS] (2020 - 2026)
Orange County Bancorp's Return on Sales [ROS] was 63.59% in Q2 2026, down 3.18 percentage points from 66.78% a year earlier and down 2.21 percentage points from the prior quarter.
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Analysis
Orange County Bancorp (OBT) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Orange County Bancorp's Return on Sales [ROS] was 63.19% through Jun 30, 2026, up 0.73 percentage points year-over-year; for FY2025, it was 64.84%, down 0.39 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +32.86 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 65.23% in FY2024 (-0.11 pp), 65.35% in FY2023 (+24.93 pp), 40.42% in FY2022 (-1.81 pp) and 42.23% in FY2021 (+10.25 pp).
- Quarterly Return on Sales [ROS] has moved between 17.01% (Q2 2022) and 83.40% (Q1 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of -6.04 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q2 2023 (a gain of 53.93 percentage points); the worst was Q3 2024 (a drop of 27.50 percentage points).
- Per Business Quant data, OBT's Return on Sales [ROS] in the three quarters before Q2 2026 was 65.80% (Q1 2026), 62.50% (Q4 2025) and 61.06% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Orange County Bancorp | 505.88 Mn | 505.88 Mn | - | 63.59% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.59% |
| Mar 31, 2026 | 65.80% |
| Dec 31, 2025 | 62.50% |
| Sep 30, 2025 | 61.06% |
| Jun 30, 2025 | 66.78% |
| Mar 31, 2025 | 69.92% |
| Dec 31, 2024 | 66.08% |
| Sep 30, 2024 | 45.95% |
| Jun 30, 2024 | 66.68% |
| Mar 31, 2024 | 83.40% |
| Dec 31, 2023 | 77.71% |
| Sep 30, 2023 | 73.45% |
| Jun 30, 2023 | 70.94% |
| Mar 31, 2023 | 37.64% |
| Dec 31, 2022 | 55.30% |
| Sep 30, 2022 | 45.73% |
| Jun 30, 2022 | 17.01% |
| Mar 31, 2022 | 38.93% |
| Dec 31, 2021 | 41.61% |
| Sep 30, 2021 | 41.82% |
API Access
Orange 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=OBT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OBT", "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=OBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();