First Merchants (FRME) FDIC Insurance (2009 - 2026)
First Merchants (FRME) posted FDIC Insurance of $4.38 million for Q3 2026, up 24.2% from $3.53 million a year earlier but down 0.2% from the prior quarter.
First Merchants (FRME) FDIC Insurance (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, FDIC Insurance at First Merchants was $15.35 million, up 6.1% year-over-year; for FY2025, it came in at $13.41 million, down 10.8% from FY2024.
- Annual FDIC Insurance shows a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- In prior years, First Merchants' FDIC Insurance was $15.03 million in FY2024 (+2.4%), $14.67 million in FY2023 (+43.4%), $10.24 million in FY2022 (+63.9%) and $6.24 million in FY2021 (+7.6%).
- Quarterly FDIC Insurance has run from a low of $1.4 million in Q1 2023 to a high of $7.56 million in Q4 2023 over five years.
- On a year-over-year basis, FDIC Insurance has increased in each of the last three quarters, with an average decline of 4.5% over the last eight quarters.
- The strongest year-over-year quarter for FDIC Insurance in the past five years was Q4 2023, with growth of 229.3%; the weakest was Q4 2024, with a decline of 50.5%.
- According to Business Quant data, FDIC Insurance for the three prior quarters was $4.39 million (Q2 2026), $3.89 million (Q1 2026) and $2.68 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FDIC Insurance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 3.57 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | First Merchants | 256.31 Mn | 256.31 Mn | - | 4.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.38 Mn |
| Jun 30, 2026 | 4.39 Mn |
| Mar 31, 2026 | 3.89 Mn |
| Dec 31, 2025 | 2.68 Mn |
| Sep 30, 2025 | 3.53 Mn |
| Jun 30, 2025 | 3.55 Mn |
| Mar 31, 2025 | 3.65 Mn |
| Dec 31, 2024 | 3.74 Mn |
| Sep 30, 2024 | 3.72 Mn |
| Jun 30, 2024 | 3.28 Mn |
| Mar 31, 2024 | 4.29 Mn |
| Dec 31, 2023 | 7.56 Mn |
| Sep 30, 2023 | 2.98 Mn |
| Jun 30, 2023 | 2.74 Mn |
| Mar 31, 2023 | 1.40 Mn |
| Dec 31, 2022 | 2.30 Mn |
| Sep 30, 2022 | 2.82 Mn |
| Jun 30, 2022 | 2.92 Mn |
| Mar 31, 2022 | 2.19 Mn |
| Dec 31, 2021 | 1.86 Mn |
First Merchants FDIC Insurance 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=fdic-insurance&ticker=FRME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-insurance", "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=fdic-insurance&ticker=FRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();