Umb Financial (UMBF) Interest Expense - Fed Funds (2009 - 2026)
Umb Financial's Interest Expense - Fed Funds was $28.95 million in Q2 2026, up 5.6% from $27.42 million a year earlier but down 2.5% from the prior quarter.
Umb Financial (UMBF) Interest Expense - Fed Funds (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Umb Financial's Interest Expense - Fed Funds was $114.14 million through Jun 30, 2026, up 9.7% year-over-year; for FY2025, it was $108.7 million, up 2.0% from FY2024.
- Interest Expense - Fed Funds has now increased for four consecutive years, with a five-year compound annual growth rate of 55.9% (FY2020 to FY2025).
- In earlier years, Interest Expense - Fed Funds was $106.56 million in FY2024 (+14.5%), $93.03 million in FY2023 (+128.5%), $40.7 million in FY2022 (+487.0%) and $6.93 million in FY2021 (-41.2%).
- Quarterly Interest Expense - Fed Funds has moved between $1.6 million (Q3 2021) and $29.7 million (Q1 2026) over five years.
- Compared with a year earlier, Interest Expense - Fed Funds has increased for four straight quarters, with growth averaging 7.0% over the last eight quarters.
- The best year-over-year quarter for Interest Expense - Fed Funds over five years was Q1 2023 (growth of 984.8%); the worst was Q3 2021 (a decline of 7.7%).
- Per Business Quant data, UMBF's Interest Expense - Fed Funds in the three quarters before Q2 2026 was $29.7 million (Q1 2026), $26.86 million (Q4 2025) and $28.63 million (Q3 2025).
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 | Umb Financial | 9.87 Bn | 3.21 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.95 Mn |
| Mar 31, 2026 | 29.70 Mn |
| Dec 31, 2025 | 26.86 Mn |
| Sep 30, 2025 | 28.63 Mn |
| Jun 30, 2025 | 27.42 Mn |
| Mar 31, 2025 | 25.79 Mn |
| Dec 31, 2024 | 23.75 Mn |
| Sep 30, 2024 | 27.07 Mn |
| Jun 30, 2024 | 28.08 Mn |
| Mar 31, 2024 | 27.66 Mn |
| Dec 31, 2023 | 21.90 Mn |
| Sep 30, 2023 | 23.08 Mn |
| Jun 30, 2023 | 24.75 Mn |
| Mar 31, 2023 | 23.30 Mn |
| Dec 31, 2022 | 18.85 Mn |
| Sep 30, 2022 | 14.71 Mn |
| Jun 30, 2022 | 5.00 Mn |
| Mar 31, 2022 | 2.15 Mn |
| Dec 31, 2021 | 1.67 Mn |
| Sep 30, 2021 | 1.60 Mn |
Umb Financial Interest Expense - Fed Funds 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-expense-fed-funds&ticker=UMBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "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=interest-expense-fed-funds&ticker=UMBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();