Wells Fargo & Company (WFC) Total Liabilities (2009 - 2026)
Wells Fargo & Company (WFC) recorded Total Liabilities of $2.1 trillion in Q2 2026, up 16.8% from $1.8 trillion a year earlier and up 3.7% from the prior quarter.
Wells Fargo & Company (WFC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Wells Fargo & Company reported Total Liabilities of $1.97 trillion, up 12.4% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $1.75 trillion in FY2024 (+0.2%), $1.75 trillion in FY2023 (+2.7%), $1.7 trillion in FY2022 (-3.4%) and $1.76 trillion in FY2021 (-0.5%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Liabilities has increased for five consecutive quarters, with growth averaging 6.8% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 16.8% in Q2 2026, against a decline of 3.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.03 trillion (Q1 2026), $1.97 trillion (Q4 2025) and $1.88 trillion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 2,099.88 Bn |
| 10 | Banco Santander | 208.29 Bn | 215.91 Bn | - | 2,137.08 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,099.88 Bn |
| Mar 31, 2026 | 2,025.44 Bn |
| Dec 31, 2025 | 1,965.59 Bn |
| Sep 30, 2025 | 1,879.91 Bn |
| Jun 30, 2025 | 1,798.32 Bn |
| Mar 31, 2025 | 1,767.41 Bn |
| Dec 31, 2024 | 1,748.78 Bn |
| Sep 30, 2024 | 1,737.11 Bn |
| Jun 30, 2024 | 1,761.93 Bn |
| Mar 31, 2024 | 1,776.48 Bn |
| Dec 31, 2023 | 1,745.03 Bn |
| Sep 30, 2023 | 1,726.89 Bn |
| Jun 30, 2023 | 1,694.37 Bn |
| Mar 31, 2023 | 1,703.18 Bn |
| Dec 31, 2022 | 1,698.81 Bn |
| Sep 30, 2022 | 1,699.24 Bn |
| Jun 30, 2022 | 1,701.34 Bn |
| Mar 31, 2022 | 1,758.11 Bn |
| Dec 31, 2021 | 1,758.18 Bn |
| Sep 30, 2021 | 1,763.83 Bn |
Wells Fargo & Company Total Liabilities 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=total-liabilities&ticker=WFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();