Simmons First National (SFNC) Occupancy Expense (2009 - 2026)
Simmons First National (SFNC) posted Occupancy Expense of $14.72 million for Q2 2026, up 24.2% from $11.84 million a year earlier and up 20.4% from the prior quarter.
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Analysis
Simmons First National (SFNC) Occupancy Expense (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Occupancy Expense at Simmons First National was $50.68 million, up 4.3% year-over-year; for FY2025, it came in at $48.24 million, unchanged from FY2024.
- Annual Occupancy Expense shows a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In prior years, Simmons First National's Occupancy Expense was $48.21 million in FY2024 (+3.2%), $46.74 million in FY2023 (+5.5%), $44.32 million in FY2022 (+14.2%) and $38.8 million in FY2021 (+3.3%).
- The Q2 2026 figure stands as the highest quarterly Occupancy Expense in data going back to Q2 2010.
- On a year-over-year basis, Occupancy Expense increased in four of the last eight quarters, with growth averaging 3.0%.
- The strongest year-over-year quarter for Occupancy Expense in the past five years was Q3 2022, with growth of 24.7%; the weakest was Q1 2026, with a decline of 3.4%.
- According to Business Quant data, Occupancy Expense for the three prior quarters was $12.22 million (Q1 2026), $11.64 million (Q4 2025) and $12.11 million (Q3 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 | Simmons First National | 3.42 Bn | 765.02 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 11.71 Mn |
| Jun 30, 2026 | 14.72 Mn |
| Mar 31, 2026 | 12.22 Mn |
| Dec 31, 2025 | 11.64 Mn |
| Sep 30, 2025 | 12.11 Mn |
| Jun 30, 2025 | 11.84 Mn |
| Mar 31, 2025 | 12.65 Mn |
| Dec 31, 2024 | 11.88 Mn |
| Sep 30, 2024 | 12.22 Mn |
| Jun 30, 2024 | 11.86 Mn |
| Mar 31, 2024 | 12.26 Mn |
| Dec 31, 2023 | 11.73 Mn |
| Sep 30, 2023 | 12.02 Mn |
| Jun 30, 2023 | 11.41 Mn |
| Mar 31, 2023 | 11.58 Mn |
| Dec 31, 2022 | 11.62 Mn |
| Sep 30, 2022 | 11.67 Mn |
| Jun 30, 2022 | 11.00 Mn |
| Mar 31, 2022 | 10.02 Mn |
| Dec 31, 2021 | 11.03 Mn |
API Access
Simmons First National Occupancy Expense 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=occupancy-expense&ticker=SFNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "SFNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=occupancy-expense&ticker=SFNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();