Bank of Marin Bancorp (BMRC) Return on Sales [ROS] (2011 - 2026)
Bank of Marin Bancorp (BMRC) recorded Return on Sales [ROS] of 1473.07% in Q2 2026, up 1466.03 percentage points from 7.04% a year earlier and up 3.27 percentage points from the prior quarter.
Bank of Marin Bancorp (BMRC) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
On a TTM basis, Bank of Marin Bancorp's Return on Sales [ROS] came in at 376.78% as of Jun 30, 2026, down 503.72 percentage points year-over-year; for FY2025, it came in at -93.88%, down 636.41 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -993.63 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 542.53% in FY2024 (-451.79 pp), 994.32% in FY2023 (+27.72 pp), 966.61% in FY2022 (+168.33 pp) and 798.28% in FY2021 (-101.47 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q1 2023.
- On a year-over-year basis, Return on Sales [ROS] rose in seven of the last eight quarters, with an average year-over-year change of -11.76 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 1466.03 percentage points in Q2 2026, against a drop of 4075.35 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 1469.80% (Q1 2026), -2796.05% (Q4 2025) and 1342.67% (Q3 2025).
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 | Bank of Marin Bancorp | 448.74 Mn | 448.74 Mn | - | 1,473.07% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,473.07% |
| Mar 31, 2026 | 1,469.80% |
| Dec 31, 2025 | -2,796.05% |
| Sep 30, 2025 | 1,342.67% |
| Jun 30, 2025 | 7.04% |
| Mar 31, 2025 | 1,097.44% |
| Dec 31, 2024 | 1,279.30% |
| Sep 30, 2024 | 1,140.83% |
| Jun 30, 2024 | -1,374.05% |
| Mar 31, 2024 | 972.36% |
| Dec 31, 2023 | 886.91% |
| Sep 30, 2023 | 1,098.37% |
| Jun 30, 2023 | 929.19% |
| Mar 31, 2023 | 1,498.15% |
| Dec 31, 2022 | 1,126.02% |
| Sep 30, 2022 | 1,020.77% |
| Jun 30, 2022 | 879.38% |
| Mar 31, 2022 | 852.34% |
| Dec 31, 2021 | 763.06% |
| Sep 30, 2021 | 440.41% |
Bank of Marin 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=BMRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BMRC", "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=BMRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();