Northrim Bancorp (NRIM) Return on Sales [ROS] (2010 - 2026)
Northrim Bancorp (NRIM) reported Return on Sales [ROS] of 1349.49% for Q2 2026, down 86.12 percentage points from 1435.60% a year earlier and down 134.36 percentage points from the prior quarter.
Northrim Bancorp (NRIM) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Northrim Bancorp's Return on Sales [ROS] came in at 1601.92%, up 195.63 percentage points year-over-year; for FY2025, it was 1661.51%, up 354.83 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +430.28 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 1306.67% in FY2024 (+285.63 pp), 1021.05% in FY2023 (+197.63 pp), 823.42% in FY2022 (-281.41 pp) and 1104.82% in FY2021 (-126.40 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q3 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last three quarters, with an average year-over-year change of +180.14 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2025 (a gain of 998.83 percentage points); the low point was Q1 2022 (a drop of 773.84 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 1483.84% (Q1 2026), 1359.57% (Q4 2025) and 2232.15% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Northrim Bancorp | 530.76 Mn | 492.57 Mn | - | 56.14% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.14% |
| Mar 31, 2026 | 56.91% |
| Dec 31, 2025 | 52.80% |
| Sep 30, 2025 | 67.88% |
| Jun 30, 2025 | 53.70% |
| Mar 31, 2025 | 62.79% |
| Dec 31, 2024 | 55.25% |
| Sep 30, 2024 | 54.94% |
| Jun 30, 2024 | 58.45% |
| Mar 31, 2024 | 57.93% |
| Dec 31, 2023 | 52.79% |
| Sep 30, 2023 | 53.34% |
| Jun 30, 2023 | 42.37% |
| Mar 31, 2023 | 36.19% |
| Dec 31, 2022 | 36.35% |
| Sep 30, 2022 | 40.87% |
| Jun 30, 2022 | 23.65% |
| Mar 31, 2022 | 32.96% |
| Dec 31, 2021 | 32.38% |
| Sep 30, 2021 | 37.81% |
Northrim 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=NRIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NRIM", "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=NRIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();