First Merchants (FRME) Total Non-Current Liabilities (2011 - 2026)
First Merchants (FRME) reported Total Non-Current Liabilities of $18.37 billion for Q2 2026, up 15.0% from $15.97 billion a year earlier and up 1.2% from the prior quarter.
First Merchants (FRME) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, First Merchants posted Total Non-Current Liabilities of $16.31 billion, up 3.9% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $15.7 billion in FY2024 (-1.1%), $15.87 billion in FY2023 (+1.1%), $15.7 billion in FY2022 (+17.5%) and $13.37 billion in FY2021 (+11.0%).
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q4 2011.
- Year over year, Total Non-Current Liabilities has now increased in each of the last six quarters, with growth averaging 4.6% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 21.9%); the low point was Q4 2024 (a decline of 1.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.15 billion (Q1 2026), $16.31 billion (Q4 2025) and $16.07 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | First Merchants | 2.47 Bn | 2.47 Bn | - | 18.37 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.37 Bn |
| Mar 31, 2026 | 18.15 Bn |
| Dec 31, 2025 | 16.31 Bn |
| Sep 30, 2025 | 16.07 Bn |
| Jun 30, 2025 | 15.97 Bn |
| Mar 31, 2025 | 15.82 Bn |
| Dec 31, 2024 | 15.70 Bn |
| Sep 30, 2024 | 15.75 Bn |
| Jun 30, 2024 | 15.76 Bn |
| Mar 31, 2024 | 15.77 Bn |
| Dec 31, 2023 | 15.87 Bn |
| Sep 30, 2023 | 15.69 Bn |
| Jun 30, 2023 | 15.62 Bn |
| Mar 31, 2023 | 15.87 Bn |
| Dec 31, 2022 | 15.70 Bn |
| Sep 30, 2022 | 15.61 Bn |
| Jun 30, 2022 | 15.61 Bn |
| Mar 31, 2022 | 13.51 Bn |
| Dec 31, 2021 | 13.37 Bn |
| Sep 30, 2021 | 12.99 Bn |
First Merchants Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FRME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FRME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();