NB Bancorp (NBBK) Income from Continuing Operations (2022 - 2026)
NB Bancorp's Income from Continuing Operations came in at $21.12 million for Q2 2026, up 44.9% from $14.58 million a year earlier and up 41.0% from the prior quarter.
NB Bancorp (NBBK) Income from Continuing Operations (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, NB Bancorp reported Income from Continuing Operations of $59.18 million, up 15.5% year-over-year; for FY2025, it was $50.3 million, up 19.3% from FY2024.
- Income from Continuing Operations carries a three-year compound annual growth rate of 18.7% (FY2022 to FY2025).
- Going back by year, Income from Continuing Operations was $42.15 million in FY2024 (+329.0%), $9.83 million in FY2023 (-67.3%) and $30.07 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Income from Continuing Operations in data going back to Q3 2022.
- Year-over-year, Income from Continuing Operations increased in five of the last seven quarters, with growth averaging 27.8%.
- The fastest year-over-year change in Income from Continuing Operations over five years came in Q3 2025 (growth of 83.3%), and the weakest in Q4 2025 (a decline of 50.6%).
- Business Quant data shows NBBK's Income from Continuing Operations at $14.98 million (Q1 2026), $7.71 million (Q4 2025) and $15.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.65 Bn |
| 10 | NB Bancorp | 969.27 Mn | 969.27 Mn | - | 21.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.12 Mn |
| Mar 31, 2026 | 14.98 Mn |
| Dec 31, 2025 | 7.71 Mn |
| Sep 30, 2025 | 15.36 Mn |
| Jun 30, 2025 | 14.58 Mn |
| Mar 31, 2025 | 12.66 Mn |
| Dec 31, 2024 | 15.61 Mn |
| Sep 30, 2024 | 8.38 Mn |
| Jun 30, 2024 | 9.45 Mn |
| Mar 31, 2024 | 8.70 Mn |
| Dec 31, 2023 | -13.62 Mn |
| Sep 30, 2023 | 8.47 Mn |
| Jun 30, 2023 | 6.23 Mn |
| Mar 31, 2023 | 8.75 Mn |
| Dec 31, 2022 | 12.03 Mn |
| Sep 30, 2022 | 7.09 Mn |
NB Bancorp Income from Continuing Operations 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=income-from-continuing-operations&ticker=NBBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=NBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();