Jpmorgan Chase (JPM) EBITDA (2009 - 2026)
Jpmorgan Chase (JPM) reported EBITDA of $54.95 billion for Q2 2026, up 20.7% from $45.53 billion a year earlier and up 17.7% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Jpmorgan Chase's EBITDA came in at $191.38 billion, up 6.9% year-over-year; for FY2025, it was $179.31 billion, down 2.7% from FY2024.
- EBITDA has a five-year compound annual growth rate of 26.9% (FY2020 to FY2025).
- By year, EBITDA came in at $184.37 billion in FY2024 (+22.5%), $150.45 billion in FY2023 (+89.7%), $79.31 billion in FY2022 (+8.6%) and $73.05 billion in FY2021 (+34.3%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q1 2009.
- Year over year, EBITDA gained in six of the last eight quarters, with growth averaging 5.6%.
- The high point for year-over-year EBITDA in five years was Q1 2023 (growth of 151.0%); the low point was Q1 2022 (a decline of 36.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $46.67 billion (Q1 2026), $43.29 billion (Q4 2025) and $46.49 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Banco Santander | 208.29 Bn | 215.91 Bn | - | 11.41 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 54.95 Bn |
| Mar 31, 2026 | 46.67 Bn |
| Dec 31, 2025 | 43.29 Bn |
| Sep 30, 2025 | 46.49 Bn |
| Jun 30, 2025 | 45.53 Bn |
| Mar 31, 2025 | 44.02 Bn |
| Dec 31, 2024 | 43.56 Bn |
| Sep 30, 2024 | 45.96 Bn |
| Jun 30, 2024 | 51.20 Bn |
| Mar 31, 2024 | 43.65 Bn |
| Dec 31, 2023 | 38.00 Bn |
| Sep 30, 2023 | 40.58 Bn |
| Jun 30, 2023 | 37.96 Bn |
| Mar 31, 2023 | 33.91 Bn |
| Dec 31, 2022 | 27.77 Bn |
| Sep 30, 2022 | 21.87 Bn |
| Jun 30, 2022 | 16.17 Bn |
| Mar 31, 2022 | 13.51 Bn |
| Dec 31, 2021 | 16.01 Bn |
| Sep 30, 2021 | 17.44 Bn |
API Access
Jpmorgan Chase 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=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();