Simmons First National (SFNC) Rent Expense (2010 - 2026)
Simmons First National (SFNC) posted Rent 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.
Simmons First National (SFNC) Rent Expense (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Rent 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 Rent Expense shows a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- In prior years, Simmons First National's Rent 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 Rent Expense in data going back to Q2 2010.
- On a year-over-year basis, Rent Expense increased in four of the last eight quarters, with growth averaging 3.0%.
- The strongest year-over-year quarter for Rent 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, Rent Expense for the three prior quarters was $12.22 million (Q1 2026), $11.64 million (Q4 2025) and $12.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 803.00 Mn |
| 10 | Simmons First National | 3.26 Bn | 3.21 Bn | - | 14.72 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 9.36 Mn |
Simmons First National Rent 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=rent-expense&ticker=SFNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-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=rent-expense&ticker=SFNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();