Jpmorgan Chase (JPM) EBITDA Margin (2009 - 2026)
Jpmorgan Chase (JPM) posted EBITDA Margin of 95.81% for Q2 2026, down 5.55 percentage points from 101.37% a year earlier but up 2.17 percentage points from the prior quarter.
Jpmorgan Chase (JPM) EBITDA Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA Margin at Jpmorgan Chase was 95.98%, down 5.97 percentage points year-over-year; for FY2025, it was 98.28%, down 5.55 percentage points from FY2024.
- Annual EBITDA Margin shows a five-year change of +52.94 percentage points (FY2020 to FY2025).
- In prior years, Jpmorgan Chase's EBITDA Margin was 103.84% in FY2024 (+8.68 pp), 95.16% in FY2023 (+33.53 pp), 61.63% in FY2022 (+1.58 pp) and 60.05% in FY2021 (+14.70 pp).
- Quarterly EBITDA Margin has run from a low of 43.97% in Q1 2022 to a high of 107.74% in Q3 2024 over five years.
- On a year-over-year basis, EBITDA Margin has declined in each of the last six quarters, with an average year-over-year change of -2.79 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q1 2023, with a gain of 44.45 percentage points; the weakest was Q1 2022, with a drop of 21.57 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 93.64% (Q1 2026), 94.51% (Q4 2025) and 100.12% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 92.35% |
| 10 | Banco Santander | 209.18 Bn | 216.79 Bn | - | 62.61% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 95.81% |
| Mar 31, 2026 | 93.64% |
| Dec 31, 2025 | 94.51% |
| Sep 30, 2025 | 100.12% |
| Jun 30, 2025 | 101.37% |
| Mar 31, 2025 | 97.15% |
| Dec 31, 2024 | 101.84% |
| Sep 30, 2024 | 107.74% |
| Jun 30, 2024 | 102.00% |
| Mar 31, 2024 | 104.10% |
| Dec 31, 2023 | 98.50% |
| Sep 30, 2023 | 101.78% |
| Jun 30, 2023 | 91.89% |
| Mar 31, 2023 | 88.42% |
| Dec 31, 2022 | 80.38% |
| Sep 30, 2022 | 66.83% |
| Jun 30, 2022 | 52.65% |
| Mar 31, 2022 | 43.97% |
| Dec 31, 2021 | 54.71% |
| Sep 30, 2021 | 58.82% |
Jpmorgan Chase 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=JPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "JPM", "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=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();