Simmons First National (SFNC) EBITDA (2010 - 2026)
Simmons First National's EBITDA came in at $200.39 million for Q2 2026, down 7.7% from $217.05 million a year earlier and down 0.2% from the prior quarter.
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Analysis
Simmons First National (SFNC) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Simmons First National reported EBITDA of $28.44 million, down 96.7% year-over-year; for FY2025, it was $37.76 million, down 95.8% from FY2024.
- EBITDA carries a five-year compound annual growth rate of -40.1% (FY2020 to FY2025).
- Going back by year, EBITDA was $901.02 million in FY2024 (+11.4%), $808.52 million in FY2023 (+61.7%), $499.94 million in FY2022 (+8.9%) and $459.21 million in FY2021 (-6.1%).
- The five-year range for quarterly EBITDA is -$586.78 million (Q3 2025) to $233.67 million (Q2 2024).
- Year-over-year, EBITDA increased in two of the last seven quarters, with an average decline of 3.3%.
- The fastest year-over-year change in EBITDA over five years came in Q2 2023 (growth of 220.4%), and the weakest in Q2 2022 (a decline of 46.0%).
- Business Quant data shows SFNC's EBITDA at $200.72 million (Q1 2026), $214.11 million (Q4 2025) and -$586.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Simmons First National | 3.26 Bn | 3.21 Bn | - | 200.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 200.39 Mn |
| Mar 31, 2026 | 200.72 Mn |
| Dec 31, 2025 | 214.11 Mn |
| Sep 30, 2025 | -586.78 Mn |
| Jun 30, 2025 | 217.05 Mn |
| Mar 31, 2025 | 193.37 Mn |
| Dec 31, 2024 | 226.34 Mn |
| Sep 30, 2024 | 213.73 Mn |
| Jun 30, 2024 | 233.67 Mn |
| Mar 31, 2024 | 227.28 Mn |
| Dec 31, 2023 | 199.27 Mn |
| Sep 30, 2023 | 225.32 Mn |
| Jun 30, 2023 | 214.39 Mn |
| Mar 31, 2023 | 169.54 Mn |
| Dec 31, 2022 | 178.93 Mn |
| Sep 30, 2022 | 147.03 Mn |
| Jun 30, 2022 | 66.91 Mn |
| Mar 31, 2022 | 107.08 Mn |
| Dec 31, 2021 | 88.87 Mn |
| Sep 30, 2021 | 129.59 Mn |
API Access
Simmons First National EBITDA 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=ebitda&ticker=SFNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SFNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();