NB Bancorp (NBBK) Price to Sales (2023 - 2026)
NB Bancorp's Price to Sales was 3.57 in Q2 2026, down 7.4% from 3.86 a year earlier and down 10.7% from the prior quarter.
Analysis
NB Bancorp (NBBK) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Price to Sales at NB Bancorp came in at 4.25, down 4.3% from FY2024.
- In earlier years, Price to Sales was 4.44 in FY2024 (+13.7%) and 3.91 in FY2023.
- Quarterly Price to Sales has moved between 3.55 (Q3 2025) and 4.81 (Q3 2024) over five years.
- Compared with a year earlier, Price to Sales has declined for five straight quarters, with an average decline of 3.5% over the last seven quarters.
- Per Business Quant data, NBBK's Price to Sales in the three quarters before Q2 2026 was 4.00 (Q1 2026), 4.24 (Q4 2025) and 3.55 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - |
| 10 | NB Bancorp | 975.84 Mn | 975.84 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.57 |
| Mar 31, 2026 | 4.00 |
| Dec 31, 2025 | 4.24 |
| Sep 30, 2025 | 3.55 |
| Jun 30, 2025 | 3.86 |
| Mar 31, 2025 | 4.09 |
| Dec 31, 2024 | 4.44 |
| Sep 30, 2024 | 4.81 |
| Jun 30, 2024 | 4.05 |
| Mar 31, 2024 | 3.83 |
| Dec 31, 2023 | 3.91 |
API Access
NB Bancorp Price to Sales 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-sales&ticker=NBBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=NBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();