Burke & Herbert Financial Services (BHRB) Return on Sales [ROS] (2022 - 2026)
Burke & Herbert Financial Services' Return on Sales [ROS] came in at 52.34% for Q2 2026, down 33.53 percentage points from 85.88% a year earlier and down 26.66 percentage points from the prior quarter.
Burke & Herbert Financial Services (BHRB) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Burke & Herbert Financial Services reported Return on Sales [ROS] of 74.68%, down 10.33 percentage points year-over-year; for FY2025, it was 85.96%, up 17.15 percentage points from FY2024.
- Return on Sales [ROS] carries a four-year change of +46.74 percentage points (FY2021 to FY2025).
- Going back by year, Return on Sales [ROS] was 68.82% in FY2024 (-1.18 pp), 70.00% in FY2023 (+19.30 pp), 50.70% in FY2022 (+11.48 pp) and 39.22% in FY2021.
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q2 2024.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +5.67 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2025 (a gain of 60.96 percentage points), and the weakest in Q2 2024 (a drop of 46.09 percentage points).
- Business Quant data shows BHRB's Return on Sales [ROS] at 79.01% (Q1 2026), 85.65% (Q4 2025) and 87.21% (Q3 2025) in the three quarters before Q2 2026.
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 | Burke & Herbert Financial Services | 1.44 Bn | 769.34 Mn | - | 78.73% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 78.73% |
| Jun 30, 2026 | 52.34% |
| Mar 31, 2026 | 79.01% |
| Dec 31, 2025 | 85.65% |
| Sep 30, 2025 | 87.21% |
| Jun 30, 2025 | 85.88% |
| Mar 31, 2025 | 85.10% |
| Dec 31, 2024 | 75.56% |
| Sep 30, 2024 | 93.29% |
| Jun 30, 2024 | 24.92% |
| Mar 31, 2024 | 85.29% |
| Dec 31, 2023 | 79.08% |
| Sep 30, 2023 | 69.55% |
| Jun 30, 2023 | 71.01% |
| Mar 31, 2023 | 60.93% |
| Dec 31, 2022 | 62.97% |
| Sep 30, 2022 | 51.59% |
| Jun 30, 2022 | 43.84% |
| Mar 31, 2022 | 42.92% |
Burke & Herbert Financial Services 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=BHRB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BHRB", "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=BHRB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();