NB Bancorp (NBBK) Price to Earnings (2023 - 2026)
NB Bancorp's Price to Earnings came in at 15.65 for Q2 2026, up 10.1% from 14.21 a year earlier but down 12.7% from the prior quarter.
Analysis
NB Bancorp (NBBK) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025, NB Bancorp's Price to Earnings was 18.03, down 1.4% from FY2024.
- Going back by year, Price to Earnings was 18.30 in FY2024 (-68.7%) and 58.46 in FY2023.
- The five-year range for quarterly Price to Earnings is 12.08 (Q3 2025) to 61.36 (Q3 2024).
- Year-over-year, Price to Earnings increased in two of the last seven quarters, with an average decline of 38.9%.
- Business Quant data shows NBBK's Price to Earnings at 17.92 (Q1 2026), 18.03 (Q4 2025) and 12.08 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | NB Bancorp | 988.98 Mn | 988.98 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.65 |
| Mar 31, 2026 | 17.92 |
| Dec 31, 2025 | 18.03 |
| Sep 30, 2025 | 12.08 |
| Jun 30, 2025 | 14.21 |
| Mar 31, 2025 | 15.90 |
| Dec 31, 2024 | 18.30 |
| Sep 30, 2024 | 61.36 |
| Jun 30, 2024 | 49.53 |
| Mar 31, 2024 | 59.68 |
| Dec 31, 2023 | 58.46 |
API Access
NB Bancorp Price to Earnings 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=price-to-earnings&ticker=NBBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=NBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();