NB Bancorp (NBBK) EPS (Diluted) (2023 - 2026)
NB Bancorp's EPS (Diluted) was $0.58 in Q3 2026, up 33.9% from $0.43 a year earlier and up 9.5% from the prior quarter.
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Analysis
NB Bancorp (NBBK) EPS (Diluted) (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, NB Bancorp's EPS (Diluted) was $1.67 through Sep 30, 2026, up 2.3% year-over-year; for FY2025, it was $1.34, up 24.9% from FY2024.
- In earlier years, EPS (Diluted) was $1.07 in FY2024 (+357.6%) and $0.23 in FY2023.
- The Q3 2026 figure marks the highest quarterly EPS (Diluted) in data going back to Q4 2023.
- Compared with a year earlier, EPS (Diluted) has increased for three straight quarters, with growth averaging 35.0% over the last seven quarters.
- Per Business Quant data, NBBK's EPS (Diluted) in the three quarters before Q3 2026 was $0.53 (Q2 2026), $0.36 (Q1 2026) and $0.20 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 5.57 |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 1.50 |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 0.91 |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 2.02 |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 3.03 |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 3.06 |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 17.01 |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.87 |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2.15 |
| 10 | NB Bancorp | 972.33 Mn | -477.09 Mn | - | 0.58 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.58 |
| Jun 30, 2026 | 0.53 |
| Mar 31, 2026 | 0.36 |
| Dec 31, 2025 | 0.20 |
| Sep 30, 2025 | 0.43 |
| Jun 30, 2025 | 0.39 |
| Mar 31, 2025 | 0.33 |
| Dec 31, 2024 | 0.40 |
| Sep 30, 2024 | 0.21 |
| Jun 30, 2024 | 0.24 |
| Mar 31, 2024 | 0.22 |
| Dec 31, 2023 | -0.32 |
API Access
NB Bancorp EPS (Diluted) 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=eps-diluted&ticker=NBBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=NBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();