First Merchants (FRME) Net Income (2010 - 2026)
First Merchants (FRME) recorded Net Income of $43.98 million in Q2 2026, down 22.6% from $56.83 million a year earlier but up 56.2% from the prior quarter.
First Merchants (FRME) Net Income (2010 - 2026) Analysis & Trends
On a TTM basis, First Merchants' Net Income came in at $185.97 million as of Jun 30, 2026, down 17.6% year-over-year; for FY2025, it came in at $226 million, up 12.2% from FY2024.
- Annual Net Income has a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $201.4 million in FY2024 (-10.0%), $223.79 million in FY2023 (+0.8%), $222.09 million in FY2022 (+8.1%) and $205.53 million in FY2021 (+38.3%).
- Quarterly Net Income has ranged from $28.16 million in Q1 2026 to $70.76 million in Q4 2022 over the past five years.
- On a year-over-year basis, Net Income has declined for three consecutive quarters, with growth averaging 3.6% over the last eight quarters.
- Peak year-over-year performance for Net Income in the last five years was growth of 56.1% in Q2 2023, against a decline of 49.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.16 million (Q1 2026), $57.07 million (Q4 2025) and $56.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 21.16 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 228.63 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 9.07 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 5.65 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 4.32 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.85 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 6.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.65 Bn |
| 10 | First Merchants | 2.47 Bn | 2.47 Bn | - | 43.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.98 Mn |
| Mar 31, 2026 | 28.16 Mn |
| Dec 31, 2025 | 57.07 Mn |
| Sep 30, 2025 | 56.77 Mn |
| Jun 30, 2025 | 56.83 Mn |
| Mar 31, 2025 | 55.34 Mn |
| Dec 31, 2024 | 64.35 Mn |
| Sep 30, 2024 | 49.19 Mn |
| Jun 30, 2024 | 39.93 Mn |
| Mar 31, 2024 | 47.94 Mn |
| Dec 31, 2023 | 42.48 Mn |
| Sep 30, 2023 | 56.37 Mn |
| Jun 30, 2023 | 60.86 Mn |
| Mar 31, 2023 | 64.08 Mn |
| Dec 31, 2022 | 70.76 Mn |
| Sep 30, 2022 | 63.75 Mn |
| Jun 30, 2022 | 38.99 Mn |
| Mar 31, 2022 | 48.59 Mn |
| Dec 31, 2021 | 47.73 Mn |
| Sep 30, 2021 | 52.77 Mn |
First Merchants Net Income 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=net-income&ticker=FRME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=FRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();