First Us Bancshares (FUSB) Operating Expenses (2010 - 2026)
First Us Bancshares' Operating Expenses came in at $7.64 million for Q2 2026, up 2.7% from $7.44 million a year earlier and up 4.1% from the prior quarter.
First Us Bancshares (FUSB) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, First Us Bancshares reported Operating Expenses of $29.69 million, up 4.9% year-over-year; for FY2025, it came in at $29.07 million, up 2.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $28.36 million in FY2024 (-2.7%), $29.14 million in FY2023 (+3.8%), $28.07 million in FY2022 (-14.3%) and $32.76 million in FY2021 (-4.5%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q3 2021.
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 1.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2025 (growth of 6.4%), and the weakest in Q2 2022 (a decline of 18.1%).
- Business Quant data shows FUSB's Operating Expenses at $7.34 million (Q1 2026), $7.27 million (Q4 2025) and $7.44 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 | First Us Bancshares | 90.86 Mn | -162.90 Mn | - | 7.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.64 Mn |
| Mar 31, 2026 | 7.34 Mn |
| Dec 31, 2025 | 7.27 Mn |
| Sep 30, 2025 | 7.44 Mn |
| Jun 30, 2025 | 7.44 Mn |
| Mar 31, 2025 | 6.92 Mn |
| Dec 31, 2024 | 6.95 Mn |
| Sep 30, 2024 | 6.99 Mn |
| Jun 30, 2024 | 7.27 Mn |
| Mar 31, 2024 | 7.15 Mn |
| Dec 31, 2023 | 7.40 Mn |
| Sep 30, 2023 | 7.32 Mn |
| Jun 30, 2023 | 7.15 Mn |
| Mar 31, 2023 | 7.27 Mn |
| Dec 31, 2022 | 7.11 Mn |
| Sep 30, 2022 | 7.03 Mn |
| Jun 30, 2022 | 6.88 Mn |
| Mar 31, 2022 | 7.06 Mn |
| Dec 31, 2021 | 7.41 Mn |
| Sep 30, 2021 | 8.55 Mn |
First Us Bancshares 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=FUSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FUSB", "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=FUSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();