First Merchants (FRME) EBITDA (2012 - 2026)
First Merchants' EBITDA came in at $158.91 million for Q2 2026, down 6.4% from $169.71 million a year earlier but up 19.2% from the prior quarter.
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Analysis
First Merchants (FRME) EBITDA (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, First Merchants reported EBITDA of $636.56 million, down 8.6% year-over-year; for FY2025, it came in at $677.32 million, down 1.2% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- Going back by year, EBITDA was $685.47 million in FY2024 (+10.7%), $619.43 million in FY2023 (+75.8%), $352.29 million in FY2022 (+22.6%) and $287.44 million in FY2021 (+16.2%).
- The five-year range for quarterly EBITDA is $58.41 million (Q2 2022) to $193.14 million (Q4 2024).
- Year-over-year, EBITDA has declined for three consecutive quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q2 2023 (growth of 170.4%), and the weakest in Q2 2022 (a decline of 24.7%).
- Business Quant data shows FRME's EBITDA at $133.35 million (Q1 2026), $169.58 million (Q4 2025) and $174.72 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 | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | First Merchants | 2.49 Bn | 2.49 Bn | - | 158.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 158.91 Mn |
| Mar 31, 2026 | 133.35 Mn |
| Dec 31, 2025 | 169.58 Mn |
| Sep 30, 2025 | 174.72 Mn |
| Jun 30, 2025 | 169.71 Mn |
| Mar 31, 2025 | 163.30 Mn |
| Dec 31, 2024 | 193.14 Mn |
| Sep 30, 2024 | 170.24 Mn |
| Jun 30, 2024 | 155.29 Mn |
| Mar 31, 2024 | 166.80 Mn |
| Dec 31, 2023 | 156.88 Mn |
| Sep 30, 2023 | 163.99 Mn |
| Jun 30, 2023 | 157.93 Mn |
| Mar 31, 2023 | 140.64 Mn |
| Dec 31, 2022 | 128.45 Mn |
| Sep 30, 2022 | 99.66 Mn |
| Jun 30, 2022 | 58.41 Mn |
| Mar 31, 2022 | 65.78 Mn |
| Dec 31, 2021 | 66.02 Mn |
| Sep 30, 2021 | 73.31 Mn |
API Access
First Merchants 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=FRME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=FRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();