Umb Financial (UMBF) EV to EBITDA (2010 - 2026)
Umb Financial's (UMBF) EV to EBITDA was 1.51 for Q2 2026, compared with -1.88 a year earlier and up 533.5% from the prior quarter.
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Analysis
Umb Financial (UMBF) EV to EBITDA (2010 - 2026) Analysis & Trends
For FY2025, EV to EBITDA at Umb Financial was -0.28.
- By year, EV to EBITDA came in at -2.04 in FY2024, -1.28 in FY2023, 1.73 in FY2022 and -10.05 in FY2021.
- The Q2 2026 figure ranks as the highest quarterly EV to EBITDA since Q4 2022.
- Per Business Quant data, the three quarters before Q2 2026 came in at 0.24 (Q1 2026), -0.28 (Q4 2025) and -0.33 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Umb Financial | 10.01 Bn | 3.35 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.51 |
| Mar 31, 2026 | 0.24 |
| Dec 31, 2025 | -0.28 |
| Sep 30, 2025 | -0.33 |
| Jun 30, 2025 | -1.88 |
| Mar 31, 2025 | -2.05 |
| Dec 31, 2024 | -2.04 |
| Sep 30, 2024 | -1.58 |
| Jun 30, 2024 | -0.80 |
| Mar 31, 2024 | -1.94 |
| Dec 31, 2023 | -1.28 |
| Sep 30, 2023 | -0.96 |
| Jun 30, 2023 | -1.06 |
| Mar 31, 2023 | -1.22 |
| Dec 31, 2022 | 1.73 |
| Sep 30, 2022 | 1.81 |
| Jun 30, 2022 | 1.47 |
| Mar 31, 2022 | -6.10 |
| Dec 31, 2021 | -10.05 |
| Sep 30, 2021 | -4.11 |
API Access
Umb Financial EV to EBITDA 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=ev-to-ebitda&ticker=UMBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=UMBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();