First Mid Bancshares (FMBH) Subordinated Debt (2009 - 2026)
First Mid Bancshares' Subordinated Debt was $34.08 million in Q2 2026, down 57.2% from $79.59 million a year earlier and down 43.3% from the prior quarter.
Powered by 
Analysis
First Mid Bancshares (FMBH) Subordinated Debt (2009 - 2026) Analysis & Trends
At the end of FY2025, Subordinated Debt at First Mid Bancshares came in at $60.01 million, down 31.4% from FY2024.
- Subordinated Debt shows a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- In earlier years, Subordinated Debt was $87.47 million in FY2024 (-18.1%), $106.76 million in FY2023 (+12.9%), $94.55 million in FY2022 (+0.2%) and $94.4 million in FY2021 (+0.2%).
- The Q2 2026 figure marks the lowest quarterly Subordinated Debt since Q3 2020.
- Compared with a year earlier, Subordinated Debt has declined for eight straight quarters, with an average decline of 25.8% over the last eight quarters.
- The best year-over-year quarter for Subordinated Debt over five years was Q3 2021 (growth of 397.0%); the worst was Q2 2026 (a decline of 57.2%).
- Per Business Quant data, FMBH's Subordinated Debt in the three quarters before Q2 2026 was $60.07 million (Q1 2026), $60.01 million (Q4 2025) and $79.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Subordinated Debt (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 | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 9.69 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | -626.05 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 Mid Bancshares | 1.36 Bn | -201.53 Mn | - | 34.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.13 Mn |
| Jun 30, 2026 | 34.08 Mn |
| Mar 31, 2026 | 60.07 Mn |
| Dec 31, 2025 | 60.01 Mn |
| Sep 30, 2025 | 79.65 Mn |
| Jun 30, 2025 | 79.59 Mn |
| Mar 31, 2025 | 79.54 Mn |
| Dec 31, 2024 | 87.47 Mn |
| Sep 30, 2024 | 87.37 Mn |
| Jun 30, 2024 | 103.03 Mn |
| Mar 31, 2024 | 106.86 Mn |
| Dec 31, 2023 | 106.76 Mn |
| Sep 30, 2023 | 106.65 Mn |
| Jun 30, 2023 | 94.63 Mn |
| Mar 31, 2023 | 94.59 Mn |
| Dec 31, 2022 | 94.55 Mn |
| Sep 30, 2022 | 94.52 Mn |
| Jun 30, 2022 | 94.48 Mn |
| Mar 31, 2022 | 94.44 Mn |
| Dec 31, 2021 | 94.40 Mn |
API Access
First Mid Bancshares Subordinated Debt 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=subordinated-debt&ticker=FMBH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "subordinated-debt", "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=subordinated-debt&ticker=FMBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();