Home Bancshares (HOMB) Accumulated Expenses (2009 - 2026)
Home Bancshares (HOMB) reported Accumulated Expenses of $169.13 million for Q3 2026, down 10.8% from $189.55 million a year earlier but up 3.1% from the prior quarter.
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Analysis
Home Bancshares (HOMB) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Home Bancshares posted Accumulated Expenses of $169.73 million, down 6.3% from FY2024.
- Accumulated Expenses has declined for three consecutive years, though with a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $181.08 million in FY2024 (-7.0%), $194.65 million in FY2023 (-1.1%), $196.88 million in FY2022 (+72.9%) and $113.87 million in FY2021 (-11.0%).
- Five-year quarterly Accumulated Expenses spans a low of $113.87 million in Q4 2021 and a high of $241.35 million in Q1 2024.
- Year over year, Accumulated Expenses has now declined in each of the last eight quarters, with an average decline of 13.0% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2022 (growth of 72.9%); the low point was Q3 2025 (a decline of 20.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $164.11 million (Q2 2026), $176.73 million (Q1 2026) and $169.73 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Home Bancshares | 6.02 Bn | 2.33 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 169.13 Mn |
| Jun 30, 2026 | 164.11 Mn |
| Mar 31, 2026 | 176.73 Mn |
| Dec 31, 2025 | 169.73 Mn |
| Sep 30, 2025 | 189.55 Mn |
| Jun 30, 2025 | 203.00 Mn |
| Mar 31, 2025 | 207.15 Mn |
| Dec 31, 2024 | 181.08 Mn |
| Sep 30, 2024 | 238.06 Mn |
| Jun 30, 2024 | 230.01 Mn |
| Mar 31, 2024 | 241.35 Mn |
| Dec 31, 2023 | 194.65 Mn |
| Sep 30, 2023 | 175.37 Mn |
| Jun 30, 2023 | 173.43 Mn |
| Mar 31, 2023 | 212.89 Mn |
| Dec 31, 2022 | 196.88 Mn |
| Sep 30, 2022 | 192.91 Mn |
| Jun 30, 2022 | 197.50 Mn |
| Mar 31, 2022 | 131.34 Mn |
| Dec 31, 2021 | 113.87 Mn |
API Access
Home Bancshares Accumulated 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=accumulated-expenses&ticker=HOMB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=HOMB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();