Wells Fargo & Company (WFC) Cash Due from Bank (2009 - 2026)
Wells Fargo & Company's Cash Due from Bank came in at $40.56 billion for Q3 2026, up 16.5% from $34.8 billion a year earlier but down 3.8% from the prior quarter.
Wells Fargo & Company (WFC) Cash Due from Bank (2009 - 2026) Analysis & Trends
At the end of FY2025, Wells Fargo & Company's Cash Due from Bank was $39.18 billion, up 5.7% from FY2024.
- Cash Due from Bank carries a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Going back by year, Cash Due from Bank was $37.08 billion in FY2024 (+12.3%), $33.03 billion in FY2023 (-4.5%), $34.6 billion in FY2022 (+40.5%) and $24.62 billion in FY2021 (-12.8%).
- The five-year range for quarterly Cash Due from Bank is $24.62 billion (Q4 2021) to $42.16 billion (Q2 2026).
- Year-over-year, Cash Due from Bank increased in seven of the last eight quarters, with growth averaging 9.7%.
- The fastest year-over-year change in Cash Due from Bank over five years came in Q4 2022 (growth of 40.5%), and the weakest in Q4 2021 (a decline of 12.8%).
- Business Quant data shows WFC's Cash Due from Bank at $42.16 billion (Q2 2026), $33.54 billion (Q1 2026) and $39.18 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 21.26 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 26.91 Bn |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 94.56 Bn |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 45.78 Bn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | - |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 40.56 Bn |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 497.98 Bn |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 3.67 Bn |
| 10 | Toronto Dominion Bank | 211.21 Bn | -464.66 Bn | - | 4.86 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.56 Bn |
| Jun 30, 2026 | 42.16 Bn |
| Mar 31, 2026 | 33.54 Bn |
| Dec 31, 2025 | 39.18 Bn |
| Sep 30, 2025 | 34.80 Bn |
| Jun 30, 2025 | 35.08 Bn |
| Mar 31, 2025 | 35.26 Bn |
| Dec 31, 2024 | 37.08 Bn |
| Sep 30, 2024 | 33.53 Bn |
| Jun 30, 2024 | 32.70 Bn |
| Mar 31, 2024 | 30.18 Bn |
| Dec 31, 2023 | 33.03 Bn |
| Sep 30, 2023 | 30.82 Bn |
| Jun 30, 2023 | 31.92 Bn |
| Mar 31, 2023 | 31.96 Bn |
| Dec 31, 2022 | 34.60 Bn |
| Sep 30, 2022 | 27.63 Bn |
| Jun 30, 2022 | 29.72 Bn |
| Mar 31, 2022 | 27.45 Bn |
| Dec 31, 2021 | 24.62 Bn |
Wells Fargo & Company Cash Due from Bank 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=cash-due-from-bank&ticker=WFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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=cash-due-from-bank&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();