First Mid Bancshares (FMBH) Interest Expenses (2011 - 2026)
First Mid Bancshares' Interest Expenses was $35.23 million in Q2 2026, up 19.3% from $29.54 million a year earlier and up 18.1% from the prior quarter.
First Mid Bancshares (FMBH) Interest Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, First Mid Bancshares' Interest Expenses was $124.2 million through Jun 30, 2026, up 1.6% year-over-year; for FY2025, it was $116.83 million, down 9.2% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 47.5% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $128.65 million in FY2024 (+20.6%), $106.7 million in FY2023 (+237.5%), $31.61 million in FY2022 (+107.1%) and $15.26 million in FY2021 (-8.8%).
- The Q2 2026 figure marks the highest quarterly Interest Expenses in data going back to Q1 2011.
- Compared with a year earlier, Interest Expenses was higher in three of the last eight quarters, with an average decline of 0.5%.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2023 (growth of 465.3%); the worst was Q4 2021 (a decline of 13.9%).
- Per Business Quant data, FMBH's Interest Expenses in the three quarters before Q2 2026 was $29.84 million (Q1 2026), $29.37 million (Q4 2025) and $29.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | First Mid Bancshares | 1.30 Bn | 1.28 Bn | - | 35.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.23 Mn |
| Mar 31, 2026 | 29.84 Mn |
| Dec 31, 2025 | 29.37 Mn |
| Sep 30, 2025 | 29.77 Mn |
| Jun 30, 2025 | 29.54 Mn |
| Mar 31, 2025 | 28.15 Mn |
| Dec 31, 2024 | 30.89 Mn |
| Sep 30, 2024 | 33.64 Mn |
| Jun 30, 2024 | 31.92 Mn |
| Mar 31, 2024 | 32.20 Mn |
| Dec 31, 2023 | 32.47 Mn |
| Sep 30, 2023 | 30.00 Mn |
| Jun 30, 2023 | 23.76 Mn |
| Mar 31, 2023 | 20.48 Mn |
| Dec 31, 2022 | 15.04 Mn |
| Sep 30, 2022 | 8.50 Mn |
| Jun 30, 2022 | 4.46 Mn |
| Mar 31, 2022 | 3.62 Mn |
| Dec 31, 2021 | 3.56 Mn |
| Sep 30, 2021 | 3.77 Mn |
First Mid Bancshares Interest Expenses 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=interest-expenses&ticker=FMBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "FMBH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=FMBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();