Wells Fargo & Company (WFC) Non Operating Interest Expenses (2009 - 2024)
Wells Fargo & Company's Non Operating Interest Expenses was $10.96 billion in Q2 2024, up 43.0% from $7.67 billion a year earlier and up 3.3% from the prior quarter.
Wells Fargo & Company (WFC) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
On a trailing twelve-month basis, Wells Fargo & Company's Non Operating Interest Expenses was $40.63 billion through Jun 30, 2024, up 98.7% year-over-year; for FY2023, it came in at $32.74 billion, up 260.8% from FY2022.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 17.4% (FY2018 to FY2023).
- In earlier years, Non Operating Interest Expenses was $9.07 billion in FY2022 (+131.8%), $3.92 billion in FY2021 (-50.8%), $7.96 billion in FY2020 (-57.8%) and $18.85 billion in FY2019 (+28.7%).
- The Q2 2024 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q1 2009.
- Compared with a year earlier, Non Operating Interest Expenses has increased for nine straight quarters, with growth averaging 260.4% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q1 2023 (growth of 527.1%); the worst was Q4 2020 (a decline of 72.8%).
- Per Business Quant data, WFC's Non Operating Interest Expenses in the three quarters before Q2 2024 was $10.61 billion (Q1 2024), $10.07 billion (Q4 2023) and $8.99 billion (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 10.96 Bn |
| Mar 31, 2024 | 10.61 Bn |
| Dec 31, 2023 | 10.07 Bn |
| Sep 30, 2023 | 8.99 Bn |
| Jun 30, 2023 | 7.67 Bn |
| Mar 31, 2023 | 6.02 Bn |
| Dec 31, 2022 | 4.36 Bn |
| Sep 30, 2022 | 2.40 Bn |
| Jun 30, 2022 | 1.36 Bn |
| Mar 31, 2022 | 960.00 Mn |
| Dec 31, 2021 | 859.00 Mn |
| Sep 30, 2021 | 925.00 Mn |
| Jun 30, 2021 | 893.00 Mn |
| Mar 31, 2021 | 1.24 Bn |
| Dec 31, 2020 | 1.20 Bn |
| Sep 30, 2020 | 1.43 Bn |
| Jun 30, 2020 | 1.92 Bn |
| Mar 31, 2020 | 3.42 Bn |
| Dec 31, 2019 | 4.40 Bn |
| Sep 30, 2019 | 4.87 Bn |
Wells Fargo & Company Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=WFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "WFC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();