First Merchants (FRME) Loans - Loss Allowance (2010 - 2026)
First Merchants (FRME) recorded Loans - Loss Allowance of $241.62 million in Q2 2026, up 23.7% from $195.32 million a year earlier and up 13.7% from the prior quarter.
First Merchants (FRME) Loans - Loss Allowance (2010 - 2026) Analysis & Trends
At the end of FY2025, First Merchants reported Loans - Loss Allowance of $195.6 million, up 1.5% from FY2024.
- Annual Loans - Loss Allowance has a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Across earlier years, Loans - Loss Allowance came in at $192.76 million in FY2024 (-5.9%), $204.93 million in FY2023 (-8.2%), $223.28 million in FY2022 (+14.3%) and $195.4 million in FY2021 (+49.6%).
- The Q2 2026 figure is the highest quarterly Loans - Loss Allowance in data going back to Q4 2010.
- On a year-over-year basis, Loans - Loss Allowance has increased for five consecutive quarters, with growth averaging 2.7% over the last eight quarters.
- Peak year-over-year performance for Loans - Loss Allowance in the last five years was growth of 57.8% in Q3 2021, against a decline of 14.3% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $212.52 million (Q1 2026), $195.6 million (Q4 2025) and $194.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 347,603.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 13.11 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.91 Bn |
| 10 | First Merchants | 2.47 Bn | 2.47 Bn | - | 241.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 241.62 Mn |
| Mar 31, 2026 | 212.52 Mn |
| Dec 31, 2025 | 195.60 Mn |
| Sep 30, 2025 | 194.47 Mn |
| Jun 30, 2025 | 195.32 Mn |
| Mar 31, 2025 | 192.03 Mn |
| Dec 31, 2024 | 192.76 Mn |
| Sep 30, 2024 | 187.83 Mn |
| Jun 30, 2024 | 189.54 Mn |
| Mar 31, 2024 | 204.68 Mn |
| Dec 31, 2023 | 204.93 Mn |
| Sep 30, 2023 | 205.78 Mn |
| Jun 30, 2023 | 221.15 Mn |
| Mar 31, 2023 | 223.05 Mn |
| Dec 31, 2022 | 223.28 Mn |
| Sep 30, 2022 | 226.70 Mn |
| Jun 30, 2022 | 226.28 Mn |
| Mar 31, 2022 | 195.98 Mn |
| Dec 31, 2021 | 195.40 Mn |
| Sep 30, 2021 | 199.97 Mn |
First Merchants Loans - Loss Allowance 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=loans-loss-allowance&ticker=FRME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=FRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();