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.
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Analysis
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 Set
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
Download Data
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% |
API Access
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_KEYimport 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();