Home Bancshares (HOMB) Other Operating Expenses (2010 - 2026)
Home Bancshares (HOMB) posted Other Operating Expenses of $28.93 million for Q2 2026, down 1.4% from $29.34 million a year earlier but up 8.8% from the prior quarter.
Home Bancshares (HOMB) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Home Bancshares was $110.67 million, down 1.6% year-over-year; for FY2025, it was $112.57 million, up 1.1% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- In prior years, Home Bancshares' Other Operating Expenses was $111.39 million in FY2024 (-6.6%), $119.27 million in FY2023 (+20.7%), $98.79 million in FY2022 (+52.1%) and $64.97 million in FY2021 (-0.5%).
- Quarterly Other Operating Expenses has run from a low of $16.3 million in Q1 2022 to a high of $39.67 million in Q4 2023 over five years.
- On a year-over-year basis, Other Operating Expenses increased in three of the last eight quarters, with an average decline of 3.2%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2022, with growth of 82.1%; the weakest was Q4 2024, with a decline of 30.6%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $26.59 million (Q1 2026), $27.81 million (Q4 2025) and $27.34 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Home Bancshares | 5.65 Bn | 2.02 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.93 Mn |
| Mar 31, 2026 | 26.59 Mn |
| Dec 31, 2025 | 27.81 Mn |
| Sep 30, 2025 | 27.34 Mn |
| Jun 30, 2025 | 29.34 Mn |
| Mar 31, 2025 | 28.09 Mn |
| Dec 31, 2024 | 27.54 Mn |
| Sep 30, 2024 | 27.55 Mn |
| Jun 30, 2024 | 29.42 Mn |
| Mar 31, 2024 | 26.89 Mn |
| Dec 31, 2023 | 39.67 Mn |
| Sep 30, 2023 | 25.68 Mn |
| Jun 30, 2023 | 27.67 Mn |
| Mar 31, 2023 | 26.23 Mn |
| Dec 31, 2022 | 30.71 Mn |
| Sep 30, 2022 | 25.18 Mn |
| Jun 30, 2022 | 26.61 Mn |
| Mar 31, 2022 | 16.30 Mn |
| Dec 31, 2021 | 16.87 Mn |
| Sep 30, 2021 | 16.82 Mn |
Home Bancshares Other 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=other-operating-expenses&ticker=HOMB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "HOMB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=HOMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();