Uscb Financial Holdings (USCB) Operating Expenses (2021 - 2026)
Uscb Financial Holdings' Operating Expenses came in at $13.97 million for Q2 2026, up 10.5% from $12.63 million a year earlier and up 1.9% from the prior quarter.
Uscb Financial Holdings (USCB) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Uscb Financial Holdings reported Operating Expenses of $55 million, up 12.3% year-over-year; for FY2025, it was $52.01 million, up 10.6% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $47.04 million in FY2024 (+12.5%), $41.81 million in FY2023 (+6.4%), $39.31 million in FY2022 (+10.2%) and $35.68 million in FY2021 (+8.0%).
- The five-year range for quarterly Operating Expenses is $9.01 million (Q3 2021) to $14.28 million (Q4 2025).
- Year-over-year, Operating Expenses has increased for 18 consecutive quarters, with growth averaging 12.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 3.2% in Q3 2023 to 19.9% in Q4 2024.
- Business Quant data shows USCB's Operating Expenses at $13.71 million (Q1 2026), $14.28 million (Q4 2025) and $13.05 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | Uscb Financial Holdings | 418.45 Mn | 126.04 Mn | - | 13.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.97 Mn |
| Mar 31, 2026 | 13.71 Mn |
| Dec 31, 2025 | 14.28 Mn |
| Sep 30, 2025 | 13.05 Mn |
| Jun 30, 2025 | 12.63 Mn |
| Mar 31, 2025 | 12.05 Mn |
| Dec 31, 2024 | 12.85 Mn |
| Sep 30, 2024 | 11.45 Mn |
| Jun 30, 2024 | 11.56 Mn |
| Mar 31, 2024 | 11.17 Mn |
| Dec 31, 2023 | 10.72 Mn |
| Sep 30, 2023 | 10.46 Mn |
| Jun 30, 2023 | 10.45 Mn |
| Mar 31, 2023 | 10.18 Mn |
| Dec 31, 2022 | 10.01 Mn |
| Sep 30, 2022 | 10.13 Mn |
| Jun 30, 2022 | 9.55 Mn |
| Mar 31, 2022 | 9.61 Mn |
| Dec 31, 2021 | 9.32 Mn |
| Sep 30, 2021 | 9.01 Mn |
Uscb Financial Holdings 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=USCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "USCB", "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=USCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();