NB Bancorp (NBBK) Return on Sales [ROS] (2022 - 2026)
NB Bancorp (NBBK) reported Return on Sales [ROS] of 93.89% for Q2 2026, down 6.64 percentage points from 100.54% a year earlier but up 5.73 percentage points from the prior quarter.
NB Bancorp (NBBK) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, NB Bancorp's Return on Sales [ROS] came in at 91.94%, down 17.53 percentage points year-over-year; for FY2025, it came in at 98.02%, down 11.29 percentage points from FY2024.
- Return on Sales [ROS] has a three-year change of +52.62 percentage points (FY2022 to FY2025).
- By year, Return on Sales [ROS] came in at 109.31% in FY2024 (+39.76 pp), 69.55% in FY2023 (+24.15 pp) and 45.40% in FY2022.
- Five-year quarterly Return on Sales [ROS] spans a low of 23.00% in Q4 2023 and a high of 117.54% in Q3 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last five quarters, with an average year-over-year change of +4.87 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2024 (a gain of 91.00 percentage points); the low point was Q4 2023 (a drop of 38.46 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 88.17% (Q1 2026), 84.43% (Q4 2025) and 103.38% (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 | NB Bancorp | 972.33 Mn | -477.09 Mn | - | 96.33% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 96.33% |
| Jun 30, 2026 | 93.89% |
| Mar 31, 2026 | 88.17% |
| Dec 31, 2025 | 85.16% |
| Sep 30, 2025 | 103.12% |
| Jun 30, 2025 | 100.54% |
| Mar 31, 2025 | 107.35% |
| Dec 31, 2024 | 114.00% |
| Sep 30, 2024 | 117.54% |
| Jun 30, 2024 | 106.04% |
| Mar 31, 2024 | 98.97% |
| Dec 31, 2023 | 23.00% |
| Sep 30, 2023 | 102.90% |
| Jun 30, 2023 | 83.14% |
| Mar 31, 2023 | 72.21% |
| Dec 31, 2022 | 61.46% |
| Sep 30, 2022 | 42.08% |
NB 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=NBBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NBBK", "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=NBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();