Wells Fargo & Company (WFC) EBITDA Margin (2009 - 2026)
Wells Fargo & Company's EBITDA Margin was 92.35% in Q2 2026, up 6.17 percentage points from 86.17% a year earlier and up 7.64 percentage points from the prior quarter.
Wells Fargo & Company (WFC) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wells Fargo & Company's EBITDA Margin was 88.94% through Jun 30, 2026, up 1.42 percentage points year-over-year; for FY2025, it was 86.91%, down 3.04 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +61.75 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 89.95% in FY2024 (+16.52 pp), 73.43% in FY2023 (+31.02 pp), 42.40% in FY2022 (-9.85 pp) and 52.25% in FY2021 (+27.09 pp).
- The Q2 2026 figure marks the highest quarterly EBITDA Margin since Q3 2024.
- Compared with a year earlier, EBITDA Margin has increased for three straight quarters, with an average year-over-year change of +2.71 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q3 2023 (a gain of 38.38 percentage points); the worst was Q2 2022 (a drop of 15.30 percentage points).
- Per Business Quant data, WFC's EBITDA Margin in the three quarters before Q2 2026 was 84.71% (Q1 2026), 88.86% (Q4 2025) and 89.65% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 92.35% |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - | 33.19% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 92.35% |
| Mar 31, 2026 | 84.71% |
| Dec 31, 2025 | 88.86% |
| Sep 30, 2025 | 89.65% |
| Jun 30, 2025 | 86.17% |
| Mar 31, 2025 | 82.69% |
| Dec 31, 2024 | 86.30% |
| Sep 30, 2024 | 94.89% |
| Jun 30, 2024 | 92.29% |
| Mar 31, 2024 | 86.37% |
| Dec 31, 2023 | 73.11% |
| Sep 30, 2023 | 82.14% |
| Jun 30, 2023 | 73.68% |
| Mar 31, 2023 | 64.73% |
| Dec 31, 2022 | 44.08% |
| Sep 30, 2022 | 43.76% |
| Jun 30, 2022 | 39.48% |
| Mar 31, 2022 | 41.83% |
| Dec 31, 2021 | 53.49% |
| Sep 30, 2021 | 51.86% |
Wells Fargo & Company EBITDA Margin 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-margin&ticker=WFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=WFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();