First Merchants (FRME) EBITDA Margin (2012 - 2026)
First Merchants' EBITDA Margin was 599.40% in Q2 2026, down 120.91 percentage points from 720.30% a year earlier but up 71.01 percentage points from the prior quarter.
First Merchants (FRME) EBITDA Margin (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Merchants' EBITDA Margin was 632.75% through Jun 30, 2026, down 121.21 percentage points year-over-year; for FY2025, it was 716.93%, down 38.27 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +376.77 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 755.20% in FY2024 (+33.28 pp), 721.91% in FY2023 (+300.45 pp), 421.46% in FY2022 (+32.45 pp) and 389.00% in FY2021 (+48.85 pp).
- Quarterly EBITDA Margin has moved between 258.39% (Q2 2022) and 816.46% (Q4 2024) over five years.
- Compared with a year earlier, EBITDA Margin has declined for four straight quarters, with an average year-over-year change of -54.59 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q2 2023 (a gain of 487.91 percentage points); the worst was Q1 2026 (a drop of 211.86 percentage points).
- Per Business Quant data, FRME's EBITDA Margin in the three quarters before Q2 2026 was 528.38% (Q1 2026), 690.15% (Q4 2025) and 719.57% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 92.35% |
| 10 | First Merchants | 2.49 Bn | 2.49 Bn | - | 599.40% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 599.40% |
| Mar 31, 2026 | 528.38% |
| Dec 31, 2025 | 690.15% |
| Sep 30, 2025 | 719.57% |
| Jun 30, 2025 | 720.30% |
| Mar 31, 2025 | 740.24% |
| Dec 31, 2024 | 816.46% |
| Sep 30, 2024 | 737.39% |
| Jun 30, 2024 | 683.28% |
| Mar 31, 2024 | 783.19% |
| Dec 31, 2023 | 726.28% |
| Sep 30, 2023 | 781.45% |
| Jun 30, 2023 | 746.31% |
| Mar 31, 2023 | 637.59% |
| Dec 31, 2022 | 648.10% |
| Sep 30, 2022 | 489.40% |
| Jun 30, 2022 | 258.39% |
| Mar 31, 2022 | 316.22% |
| Dec 31, 2021 | 340.30% |
| Sep 30, 2021 | 382.26% |
First Merchants 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=FRME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "FRME", "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=FRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();