NB Bancorp (NBBK) Operating Expenses (2022 - 2026)
NB Bancorp (NBBK) posted Operating Expenses of $46.28 million for Q3 2026, up 52.4% from $30.37 million a year earlier and up 5.1% from the prior quarter.
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Analysis
NB Bancorp (NBBK) Operating Expenses (2022 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Expenses at NB Bancorp was $182.54 million, up 58.6% year-over-year; for FY2025, it came in at $137.87 million, up 33.8% from FY2024.
- Annual Operating Expenses shows a three-year compound annual growth rate of 24.6% (FY2022 to FY2025).
- In prior years, NB Bancorp's Operating Expenses was $103.02 million in FY2024 (-15.1%), $121.34 million in FY2023 (+70.1%) and $71.32 million in FY2022.
- Quarterly Operating Expenses has run from a low of $17.98 million in Q3 2022 to a high of $52.89 million in Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last seven quarters, with growth averaging 29.4% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 178.9%; the weakest was Q4 2024, with a decline of 49.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $44.02 million (Q2 2026), $42.7 million (Q1 2026) and $49.54 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.82 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 17.50 Bn |
| 10 | NB Bancorp | 972.33 Mn | -477.09 Mn | - | 46.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.28 Mn |
| Jun 30, 2026 | 44.02 Mn |
| Mar 31, 2026 | 42.70 Mn |
| Dec 31, 2025 | 49.00 Mn |
| Sep 30, 2025 | 30.50 Mn |
| Jun 30, 2025 | 29.41 Mn |
| Mar 31, 2025 | 28.68 Mn |
| Dec 31, 2024 | 26.65 Mn |
| Sep 30, 2024 | 24.59 Mn |
| Jun 30, 2024 | 26.21 Mn |
| Mar 31, 2024 | 25.57 Mn |
| Dec 31, 2023 | 52.89 Mn |
| Sep 30, 2023 | 23.09 Mn |
| Jun 30, 2023 | 22.34 Mn |
| Mar 31, 2023 | 23.03 Mn |
| Dec 31, 2022 | 18.96 Mn |
| Sep 30, 2022 | 17.98 Mn |
API Access
NB Bancorp Operating Expenses 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=operating-expenses&ticker=NBBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();