Wells Fargo & Company (WFC) EBITDA (2009 - 2026)
Wells Fargo & Company (WFC) recorded EBITDA of $20.89 billion in Q2 2026, up 16.4% from $17.94 billion a year earlier and up 15.0% from the prior quarter.
Wells Fargo & Company (WFC) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Wells Fargo & Company's EBITDA came in at $77.19 billion as of Jun 30, 2026, up 7.9% year-over-year; for FY2025, it came in at $72.74 billion, down 1.7% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 31.2% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $74.02 billion in FY2024 (+22.0%), $60.65 billion in FY2023 (+92.3%), $31.54 billion in FY2022 (-23.8%) and $41.37 billion in FY2021 (+121.4%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q1 2009.
- On a year-over-year basis, EBITDA has increased for three consecutive quarters, with growth averaging 6.1% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 124.9% in Q2 2023, against a decline of 39.4% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $18.17 billion (Q1 2026), $18.92 billion (Q4 2025) and $19.22 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - | 6.52 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.89 Bn |
| Mar 31, 2026 | 18.17 Bn |
| Dec 31, 2025 | 18.92 Bn |
| Sep 30, 2025 | 19.22 Bn |
| Jun 30, 2025 | 17.94 Bn |
| Mar 31, 2025 | 16.66 Bn |
| Dec 31, 2024 | 17.59 Bn |
| Sep 30, 2024 | 19.33 Bn |
| Jun 30, 2024 | 19.09 Bn |
| Mar 31, 2024 | 18.02 Bn |
| Dec 31, 2023 | 14.97 Bn |
| Sep 30, 2023 | 17.13 Bn |
| Jun 30, 2023 | 15.13 Bn |
| Mar 31, 2023 | 13.42 Bn |
| Dec 31, 2022 | 8.83 Bn |
| Sep 30, 2022 | 8.56 Bn |
| Jun 30, 2022 | 6.73 Bn |
| Mar 31, 2022 | 7.42 Bn |
| Dec 31, 2021 | 11.52 Bn |
| Sep 30, 2021 | 9.77 Bn |
Wells Fargo & Company EBITDA 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=ebitda&ticker=WFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();