Wells Fargo & Company (WFC) Change in Net Loans (2024 - 2026)
Wells Fargo & Company (WFC) recorded Change in Net Loans of -$19.63 billion in Q2 2026, compared with -$12.28 billion a year earlier.
Wells Fargo & Company (WFC) Change in Net Loans (2024 - 2026) Analysis & Trends
On a TTM basis, Wells Fargo & Company's Change in Net Loans came in at -$117.8 billion as of Jun 30, 2026; for FY2025, it was -$80.73 billion.
- Across earlier years, Change in Net Loans came in at $18.66 billion in FY2024 (+59.6%) and $11.69 billion in FY2023.
- Quarterly Change in Net Loans has ranged from -$45.12 billion in Q4 2025 to -$2.6 billion in Q1 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$32.32 billion (Q1 2026), -$45.12 billion (Q4 2025) and -$20.73 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 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 | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 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 | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - | 6.50 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.63 Bn |
| Mar 31, 2026 | -32.32 Bn |
| Dec 31, 2025 | -45.12 Bn |
| Sep 30, 2025 | -20.73 Bn |
| Jun 30, 2025 | -12.28 Bn |
| Mar 31, 2025 | -2.60 Bn |
| Dec 31, 2024 | -3.34 Bn |
Wells Fargo & Company Change in Net Loans 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=change-in-net-loans&ticker=WFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();