First Mid Bancshares (FMBH) Other Non-Current Liabilities (2010 - 2026)
First Mid Bancshares' Other Non-Current Liabilities was $45.76 million in Q2 2026, up 39.0% from $32.91 million a year earlier and up 30.0% from the prior quarter.
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Analysis
First Mid Bancshares (FMBH) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at First Mid Bancshares came in at $48.31 million, up 25.8% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $38.38 million in FY2024 (-7.6%), $41.56 million in FY2023 (+21.2%), $34.28 million in FY2022 (+3.2%) and $33.23 million in FY2021 (+5.6%).
- Quarterly Other Non-Current Liabilities has moved between $23.16 million (Q2 2022) and $48.31 million (Q4 2025) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has increased for three straight quarters, with growth averaging 6.0% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q2 2026 (growth of 39.0%); the worst was Q2 2022 (a decline of 40.4%).
- Per Business Quant data, FMBH's Other Non-Current Liabilities in the three quarters before Q2 2026 was $35.19 million (Q1 2026), $48.31 million (Q4 2025) and $37.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 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 | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | First Mid Bancshares | 1.30 Bn | 1.28 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.76 Mn |
| Mar 31, 2026 | 35.19 Mn |
| Dec 31, 2025 | 48.31 Mn |
| Sep 30, 2025 | 37.31 Mn |
| Jun 30, 2025 | 32.91 Mn |
| Mar 31, 2025 | 31.84 Mn |
| Dec 31, 2024 | 38.38 Mn |
| Sep 30, 2024 | 39.14 Mn |
| Jun 30, 2024 | 34.05 Mn |
| Mar 31, 2024 | 35.96 Mn |
| Dec 31, 2023 | 41.56 Mn |
| Sep 30, 2023 | 39.21 Mn |
| Jun 30, 2023 | 30.85 Mn |
| Mar 31, 2023 | 32.44 Mn |
| Dec 31, 2022 | 34.28 Mn |
| Sep 30, 2022 | 33.26 Mn |
| Jun 30, 2022 | 23.16 Mn |
| Mar 31, 2022 | 33.00 Mn |
| Dec 31, 2021 | 33.23 Mn |
| Sep 30, 2021 | 32.64 Mn |
API Access
First Mid Bancshares Other 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=other-non-current-liabilities&ticker=FMBH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=FMBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();