Simmons First National (SFNC) EBITDA Margin (2009 - 2026)
Simmons First National's EBITDA Margin came in at 80.66% for Q2 2026, down 20.70 percentage points from 101.36% a year earlier and down 2.54 percentage points from the prior quarter.
Simmons First National (SFNC) EBITDA Margin (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Simmons First National reported EBITDA Margin of 17.01%, down 88.38 percentage points year-over-year; for FY2025, it came in at 27.49%, down 88.70 percentage points from FY2024.
- EBITDA Margin carries a five-year change of -28.15 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was 116.19% in FY2024 (+15.82 pp), 100.37% in FY2023 (+44.00 pp), 56.37% in FY2022 (-2.41 pp) and 58.78% in FY2021 (+3.14 pp).
- The Q2 2026 figure represents the lowest quarterly EBITDA Margin since Q1 2023.
- Year-over-year, EBITDA Margin has declined for three consecutive quarters, with an average year-over-year change of -12.85 percentage points over the last seven quarters.
- The fastest year-over-year change in EBITDA Margin over five years came in Q2 2023 (a gain of 73.25 percentage points), and the weakest in Q2 2022 (a drop of 34.31 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Simmons First National | 3.42 Bn | 765.02 Mn | - | 68.55% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 68.55% |
| Jun 30, 2026 | 80.66% |
| Mar 31, 2026 | 83.20% |
| Dec 31, 2025 | 86.03% |
| Jun 30, 2025 | 101.36% |
| Mar 31, 2025 | 92.29% |
| Dec 31, 2024 | 108.58% |
| Sep 30, 2024 | 122.26% |
| Jun 30, 2024 | 118.51% |
| Mar 31, 2024 | 116.52% |
| Dec 31, 2023 | 112.22% |
| Sep 30, 2023 | 114.86% |
| Jun 30, 2023 | 102.98% |
| Mar 31, 2023 | 75.82% |
| Dec 31, 2022 | 75.30% |
| Sep 30, 2022 | 62.17% |
| Jun 30, 2022 | 29.73% |
| Mar 31, 2022 | 57.07% |
| Dec 31, 2021 | 44.93% |
| Sep 30, 2021 | 66.94% |
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();