Us Bancorp \De\ (USB) Loans - Loss Allowance (2009 - 2026)
Us Bancorp's Loans - Loss Allowance came in at $7.82 billion for Q3 2026, up 3.4% from $7.56 billion a year earlier and up 2.2% from the prior quarter.
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Analysis
Us Bancorp \De\ (USB) Loans - Loss Allowance (2009 - 2026) Analysis & Trends
At the end of FY2025, Us Bancorp's Loans - Loss Allowance was $7.61 billion, up 0.3% from FY2024.
- Loans - Loss Allowance has increased in each of the last four years, with a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- Going back by year, Loans - Loss Allowance was $7.58 billion in FY2024 (+2.8%), $7.38 billion in FY2023 (+6.4%), $6.94 billion in FY2022 (+21.2%) and $5.72 billion in FY2021 (-21.7%).
- The Q3 2026 figure represents the highest quarterly Loans - Loss Allowance in data going back to Q1 2009.
- Year-over-year, Loans - Loss Allowance has increased for four consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- The fastest year-over-year change in Loans - Loss Allowance over five years came in Q1 2023 (growth of 23.9%), and the weakest in Q4 2021 (a decline of 21.7%).
- Business Quant data shows USB's Loans - Loss Allowance at $7.65 billion (Q2 2026), $7.65 billion (Q1 2026) and $7.61 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 26.27 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 13.01 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | -5.30 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 | - | 13.82 Bn |
| 10 | Us Bancorp \De\ | 95.04 Bn | 95.50 Bn | - | 7.82 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.82 Bn |
| Jun 30, 2026 | 7.65 Bn |
| Mar 31, 2026 | 7.65 Bn |
| Dec 31, 2025 | 7.61 Bn |
| Sep 30, 2025 | 7.56 Bn |
| Jun 30, 2025 | 7.54 Bn |
| Mar 31, 2025 | 7.58 Bn |
| Dec 31, 2024 | 7.58 Bn |
| Sep 30, 2024 | 7.56 Bn |
| Jun 30, 2024 | 7.55 Bn |
| Mar 31, 2024 | 7.51 Bn |
| Dec 31, 2023 | 7.38 Bn |
| Sep 30, 2023 | 7.22 Bn |
| Jun 30, 2023 | 7.16 Bn |
| Mar 31, 2023 | 7.02 Bn |
| Dec 31, 2022 | 6.94 Bn |
| Sep 30, 2022 | 6.02 Bn |
| Jun 30, 2022 | 5.83 Bn |
| Mar 31, 2022 | 5.66 Bn |
| Dec 31, 2021 | 5.72 Bn |
API Access
Us Bancorp \De\ Loans - Loss Allowance 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=loans-loss-allowance&ticker=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();