Us Bancorp \De\ (USB) Marketing and Advertising (2009 - 2026)
Us Bancorp's Marketing and Advertising was $199 million in Q3 2026, up 13.7% from $175 million a year earlier but down 7.9% from the prior quarter.
Us Bancorp \De\ (USB) Marketing and Advertising (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Us Bancorp's Marketing and Advertising was $819 million through Sep 30, 2026, up 20.8% year-over-year; for FY2025, it came in at $705 million, up 13.9% from FY2024.
- Marketing and Advertising shows a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- In earlier years, Marketing and Advertising was $619 million in FY2024 (-14.7%), $726 million in FY2023 (+59.2%), $456 million in FY2022 (+24.6%) and $366 million in FY2021 (+15.1%).
- Quarterly Marketing and Advertising has moved between $80 million (Q1 2022) and $306 million (Q4 2023) over five years.
- Compared with a year earlier, Marketing and Advertising has increased for seven straight quarters, with growth averaging 9.8% over the last eight quarters.
- The best year-over-year quarter for Marketing and Advertising over five years was Q4 2023 (growth of 112.5%); the worst was Q4 2024 (a decline of 47.7%).
- Per Business Quant data, USB's Marketing and Advertising in the three quarters before Q3 2026 was $216 million (Q2 2026), $217 million (Q1 2026) and $187 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Marketing (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 1.92 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 669.00 Mn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 347.00 Mn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 337.00 Mn |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | 199.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 199.00 Mn |
| Jun 30, 2026 | 216.00 Mn |
| Mar 31, 2026 | 217.00 Mn |
| Dec 31, 2025 | 187.00 Mn |
| Sep 30, 2025 | 175.00 Mn |
| Jun 30, 2025 | 161.00 Mn |
| Mar 31, 2025 | 182.00 Mn |
| Dec 31, 2024 | 160.00 Mn |
| Sep 30, 2024 | 165.00 Mn |
| Jun 30, 2024 | 158.00 Mn |
| Mar 31, 2024 | 136.00 Mn |
| Dec 31, 2023 | 306.00 Mn |
| Sep 30, 2023 | 176.00 Mn |
| Jun 30, 2023 | 122.00 Mn |
| Mar 31, 2023 | 122.00 Mn |
| Dec 31, 2022 | 144.00 Mn |
| Sep 30, 2022 | 126.00 Mn |
| Jun 30, 2022 | 106.00 Mn |
| Mar 31, 2022 | 80.00 Mn |
| Dec 31, 2021 | 129.00 Mn |
Us Bancorp \De\ Marketing and Advertising 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=marketing-and-advertising&ticker=USB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "marketing-and-advertising", "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=marketing-and-advertising&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();