Us Bancorp \De\ (USB) Exchange Rate Effect (2025 - 2026)
Us Bancorp (USB) reported Exchange Rate Effect of -$10 million for Q3 2026, compared with -$17 million a year earlier.
Us Bancorp \De\ (USB) Exchange Rate Effect (2025 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Us Bancorp's Exchange Rate Effect came in at -$235 million; for FY2025, it was $706 million.
- By year, Exchange Rate Effect came in at -$327 million in FY2024 and $330 million in FY2023.
- The Q3 2026 figure ranks as the highest quarterly Exchange Rate Effect since Q2 2025.
- Per Business Quant data, the three quarters before Q3 2026 came in at -$67 million (Q2 2026), -$132 million (Q1 2026) and -$26 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 940.00 Mn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 249.00 Mn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 309.00 Mn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 723.66 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 655.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | - |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | -10.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -10.00 Mn |
| Jun 30, 2026 | -67.00 Mn |
| Mar 31, 2026 | -132.00 Mn |
| Dec 31, 2025 | -26.00 Mn |
| Sep 30, 2025 | -17.00 Mn |
| Jun 30, 2025 | 486.00 Mn |
| Mar 31, 2025 | 263.00 Mn |
Us Bancorp \De\ Exchange Rate Effect 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=exchange-rate-effect&ticker=USB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();