NB Bancorp (NBBK) Price to Earnings (2023 - 2026)
NB Bancorp's Price to Earnings came in at 14.48 for Q3 2026, up 19.9% from 12.08 a year earlier but down 7.5% from the prior quarter.
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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 has increased for three consecutive quarters, with an average decline of 31.6% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in Q3 2026 (growth of 19.9%), and the weakest in Q3 2025 (a decline of 80.3%).
- Business Quant data shows NBBK's Price to Earnings at 15.65 (Q2 2026), 17.92 (Q1 2026) and 18.03 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | NB Bancorp | 972.33 Mn | -477.09 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.48 |
| 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_KEYimport 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();