Umb Financial (UMBF) Long-Term Debt Repayments (2010 - 2025)
Umb Financial (UMBF) posted Long-Term Debt Repayments of $200 million for FY2025.
Powered by 
Analysis
Umb Financial (UMBF) Long-Term Debt Repayments (2010 - 2025) Analysis & Trends
Since FY2009, Umb Financial has reported Long-Term Debt Repayments for 11 years.
- The FY2025 figure stands as the highest annual Long-Term Debt Repayments in data going back to FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.00 Bn |
| 10 | Umb Financial | 9.87 Bn | 3.21 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 188.95 Mn |
| Mar 31, 2025 | 11.06 Mn |
| Dec 31, 2019 | 1.58 Mn |
| Sep 30, 2019 | 1.88 Mn |
| Jun 30, 2019 | 58,000.00 |
| Mar 31, 2019 | 1.31 Mn |
| Dec 31, 2018 | 99,000.00 |
| Sep 30, 2018 | 416,000.00 |
| Jun 30, 2018 | 240,000.00 |
| Mar 31, 2018 | 898,000.00 |
| Dec 31, 2017 | 33,000.00 |
| Sep 30, 2017 | 265,000.00 |
| Jun 30, 2017 | 288,000.00 |
| Mar 31, 2017 | 938,000.00 |
| Dec 31, 2016 | 418,000.00 |
| Mar 31, 2012 | 1.11 Mn |
| Dec 31, 2011 | 1.31 Mn |
| Sep 30, 2011 | 204,000.00 |
| Jun 30, 2011 | 173,000.00 |
| Mar 31, 2011 | 2.37 Mn |
API Access
Umb Financial 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=UMBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "UMBF", "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=UMBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();