Simmons First National (SFNC) EBITDA Margin (2010 - 2026)
Simmons First National's EBITDA Margin came in at 570.54% for Q2 2026, down 74.92 percentage points from 645.47% a year earlier and down 0.46 percentage points from the prior quarter.
Simmons First National (SFNC) EBITDA Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Simmons First National reported EBITDA Margin of 20.19%, down 608.34 percentage points year-over-year; for FY2025, it came in at 27.30%, down 650.96 percentage points from FY2024.
- EBITDA Margin carries a five-year change of -323.68 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was 678.26% in FY2024 (+51.79 pp), 626.46% in FY2023 (+235.16 pp), 391.30% in FY2022 (+43.79 pp) and 347.51% in FY2021 (-3.47 pp).
- The five-year range for quarterly EBITDA Margin is -1665.99% (Q3 2025) to 707.82% (Q2 2024).
- Year-over-year, EBITDA Margin increased in two of the last eight quarters, with an average year-over-year change of -331.28 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in Q2 2023 (a gain of 433.86 percentage points), and the weakest in Q3 2025 (a drop of 2305.51 percentage points).
- Business Quant data shows SFNC's EBITDA Margin at 571.01% (Q1 2026), 604.82% (Q4 2025) and -1665.99% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 92.35% |
| 10 | Simmons First National | 3.26 Bn | 3.21 Bn | - | 570.54% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 570.54% |
| Mar 31, 2026 | 571.01% |
| Dec 31, 2025 | 604.82% |
| Sep 30, 2025 | -1,665.99% |
| Jun 30, 2025 | 645.47% |
| Mar 31, 2025 | 567.81% |
| Dec 31, 2024 | 661.57% |
| Sep 30, 2024 | 639.53% |
| Jun 30, 2024 | 707.82% |
| Mar 31, 2024 | 705.88% |
| Dec 31, 2023 | 618.23% |
| Sep 30, 2023 | 698.69% |
| Jun 30, 2023 | 650.18% |
| Mar 31, 2023 | 536.42% |
| Dec 31, 2022 | 576.27% |
| Sep 30, 2022 | 439.08% |
| Jun 30, 2022 | 216.33% |
| Mar 31, 2022 | 331.51% |
| Dec 31, 2021 | 259.73% |
| Sep 30, 2021 | 377.62% |
Simmons First National EBITDA Margin 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-margin&ticker=SFNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=SFNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();