Us Bancorp (USB) EBITDA (2010 - 2026)
Us Bancorp (USB) recorded EBITDA of $6.17 billion in Q2 2026, up 1.7% from $6.06 billion a year earlier but down 0.5% from the prior quarter.
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Analysis
Us Bancorp (USB) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Us Bancorp's EBITDA came in at $25.22 billion as of Jun 30, 2026, up 4.4% year-over-year; for FY2025, it was $24.71 billion, up 2.0% from FY2024.
- Annual EBITDA has increased for three straight years, with a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $24.23 billion in FY2024 (+18.2%), $20.49 billion in FY2023 (+85.0%), $11.08 billion in FY2022 (-5.0%) and $11.66 billion in FY2021 (+35.6%).
- Quarterly EBITDA has ranged from $2.33 billion in Q1 2022 to $6.45 billion in Q3 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for four consecutive quarters, with growth averaging 6.1% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 107.8% in Q2 2023, against a decline of 29.2% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.2 billion (Q1 2026), $6.4 billion (Q4 2025) and $6.45 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Us Bancorp | 90.01 Bn | 90.47 Bn | - | 6.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.17 Bn |
| Mar 31, 2026 | 6.20 Bn |
| Dec 31, 2025 | 6.40 Bn |
| Sep 30, 2025 | 6.45 Bn |
| Jun 30, 2025 | 6.06 Bn |
| Mar 31, 2025 | 5.80 Bn |
| Dec 31, 2024 | 6.03 Bn |
| Sep 30, 2024 | 6.25 Bn |
| Jun 30, 2024 | 6.25 Bn |
| Mar 31, 2024 | 5.69 Bn |
| Dec 31, 2023 | 4.90 Bn |
| Sep 30, 2023 | 5.73 Bn |
| Jun 30, 2023 | 5.12 Bn |
| Mar 31, 2023 | 4.75 Bn |
| Dec 31, 2022 | 2.96 Bn |
| Sep 30, 2022 | 3.33 Bn |
| Jun 30, 2022 | 2.46 Bn |
| Mar 31, 2022 | 2.33 Bn |
| Dec 31, 2021 | 2.49 Bn |
| Sep 30, 2021 | 2.96 Bn |
API Access
Us Bancorp 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=ebitda&ticker=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "USB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();