Northpointe Bancshares (NPB) EBITDA (2024 - 2026)
Northpointe Bancshares (NPB) posted EBITDA of $94.09 million for the quarter ended Jun 30, 2026, up 12.0% from $83.99 million a year earlier.
Northpointe Bancshares (NPB) EBITDA (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Northpointe Bancshares was $364.86 million, up 19.7% year-over-year; for the year ended Dec 31, 2025, it was $342.94 million, up 22.5% from the prior year.
- In prior years, Northpointe Bancshares' EBITDA was $279.99 million in the year ended Dec 31, 2024 (+30.3%) and $214.87 million in the year ended Dec 31, 2023.
- Quarterly EBITDA has run from a low of $62.58 million in the quarter ended Mar 31, 2024 to a high of $95.34 million in the quarter ended Dec 31, 2025 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Northpointe Bancshares | 512.50 Mn | -1.36 Bn | - | 94.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.09 Mn |
| Dec 31, 2025 | 95.34 Mn |
| Sep 30, 2025 | 91.44 Mn |
| Jun 30, 2025 | 83.99 Mn |
| Mar 31, 2025 | 72.16 Mn |
| Dec 31, 2024 | 68.25 Mn |
| Sep 30, 2024 | 80.50 Mn |
| Jun 30, 2024 | 68.67 Mn |
| Mar 31, 2024 | 62.58 Mn |
Northpointe Bancshares EBITDA 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=ebitda&ticker=NPB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "NPB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=NPB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();