Unity Bancorp (UNTY) Operating Expenses (2010 - 2026)
Unity Bancorp (UNTY) reported Operating Expenses of $13.93 million for Q2 2026, up 7.0% from $13.02 million a year earlier but down 1.0% from the prior quarter.
Unity Bancorp (UNTY) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Unity Bancorp's Operating Expenses came in at $54.73 million, up 8.9% year-over-year; for FY2025, it was $52.36 million, up 7.4% from FY2024.
- Operating Expenses has increased for 12 consecutive years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $48.74 million in FY2024 (+3.8%), $46.98 million in FY2023 (+10.6%), $42.46 million in FY2022 (+4.1%) and $40.78 million in FY2021 (+3.9%).
- Five-year quarterly Operating Expenses spans a low of $9.86 million in Q3 2021 and a high of $14.07 million in Q1 2026.
- Year over year, Operating Expenses has now increased in each of the last 18 quarters, with growth averaging 7.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2023 (growth of 19.1%); the low point was Q3 2021 (a decline of 1.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $14.07 million (Q1 2026), $13.32 million (Q4 2025) and $13.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Unity Bancorp | 550.76 Mn | 550.76 Mn | - | 13.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.93 Mn |
| Mar 31, 2026 | 14.07 Mn |
| Dec 31, 2025 | 13.32 Mn |
| Sep 30, 2025 | 13.42 Mn |
| Jun 30, 2025 | 13.02 Mn |
| Mar 31, 2025 | 12.61 Mn |
| Dec 31, 2024 | 12.62 Mn |
| Sep 30, 2024 | 12.01 Mn |
| Jun 30, 2024 | 11.98 Mn |
| Mar 31, 2024 | 12.13 Mn |
| Dec 31, 2023 | 11.74 Mn |
| Sep 30, 2023 | 11.97 Mn |
| Jun 30, 2023 | 11.84 Mn |
| Mar 31, 2023 | 11.43 Mn |
| Dec 31, 2022 | 11.37 Mn |
| Sep 30, 2022 | 10.06 Mn |
| Jun 30, 2022 | 10.66 Mn |
| Mar 31, 2022 | 10.37 Mn |
| Dec 31, 2021 | 10.66 Mn |
| Sep 30, 2021 | 9.86 Mn |
Unity 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=UNTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "UNTY", "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=UNTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();