First Merchants (FRME) Long-Term Debt Repayments (2009 - 2026)
First Merchants (FRME) posted Long-Term Debt Repayments of $820.2 million for Q2 2026, up 100.9% from $408.33 million a year earlier and up 460.1% from the prior quarter.
First Merchants (FRME) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Long-Term Debt Repayments at First Merchants was $1.3 billion, up 43.3% year-over-year; for FY2025, it came in at $1.01 billion, up 98.6% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- In prior years, First Merchants' Long-Term Debt Repayments was $509.71 million in FY2024 (-54.5%), $1.12 billion in FY2023 (-16.0%), $1.33 billion in FY2022 and $96.2 million in FY2021 (-84.5%).
- The Q2 2026 figure stands as the highest quarterly Long-Term Debt Repayments in data going back to Q1 2012.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last six quarters, with growth averaging 42.8%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2022, with growth of 338.3%; the weakest was Q3 2021, with a decline of 99.9%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $146.45 million (Q1 2026), $177.98 million (Q4 2025) and $155.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 25.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 31.73 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 33.18 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 16.57 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 3.97 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | First Merchants | 256.31 Mn | 256.31 Mn | - | 868.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 868.87 Mn |
| Jun 30, 2026 | 820.20 Mn |
| Mar 31, 2026 | 146.45 Mn |
| Dec 31, 2025 | 177.98 Mn |
| Sep 30, 2025 | 155.12 Mn |
| Jun 30, 2025 | 408.33 Mn |
| Mar 31, 2025 | 270.98 Mn |
| Dec 31, 2024 | 10.17 Mn |
| Sep 30, 2024 | 217.39 Mn |
| Jun 30, 2024 | 114.97 Mn |
| Mar 31, 2024 | 167.18 Mn |
| Dec 31, 2023 | 75.61 Mn |
| Sep 30, 2023 | 10.15 Mn |
| Jun 30, 2023 | 386.76 Mn |
| Mar 31, 2023 | 646.68 Mn |
| Dec 31, 2022 | 765.67 Mn |
| Sep 30, 2022 | 250.15 Mn |
| Jun 30, 2022 | 280.10 Mn |
| Mar 31, 2022 | 36.98 Mn |
| Dec 31, 2021 | 2.11 Mn |
First Merchants Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=FRME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=FRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();