Jpmorgan Chase (JPM) EBIT (2009 - 2026)
Jpmorgan Chase (JPM) posted EBIT of $52.63 billion for Q2 2026, up 21.5% from $43.32 billion a year earlier and up 18.8% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Jpmorgan Chase was $182.12 billion, up 6.6% year-over-year; for FY2025, it came in at $170.49 billion, down 3.4% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- In prior years, Jpmorgan Chase's EBIT was $176.43 billion in FY2024 (+23.4%), $142.93 billion in FY2023 (+97.8%), $72.26 billion in FY2022 (+11.0%) and $65.12 billion in FY2021 (+42.3%).
- The Q2 2026 figure stands as the highest quarterly EBIT in data going back to Q1 2009.
- On a year-over-year basis, EBIT increased in six of the last eight quarters, with growth averaging 6.1%.
- The strongest year-over-year quarter for EBIT in the past five years was Q1 2023, with growth of 176.0%; the weakest was Q1 2022, with a decline of 38.7%.
- According to Business Quant data, EBIT for the three prior quarters was $44.3 billion (Q1 2026), $40.97 billion (Q4 2025) and $44.22 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 52.63 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,140.26 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.40 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 20.47 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.35 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 5.11 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 26.66 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 19.01 Bn |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - | 6.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.63 Bn |
| Mar 31, 2026 | 44.30 Bn |
| Dec 31, 2025 | 40.97 Bn |
| Sep 30, 2025 | 44.22 Bn |
| Jun 30, 2025 | 43.32 Bn |
| Mar 31, 2025 | 41.99 Bn |
| Dec 31, 2024 | 41.59 Bn |
| Sep 30, 2024 | 43.99 Bn |
| Jun 30, 2024 | 49.20 Bn |
| Mar 31, 2024 | 41.65 Bn |
| Dec 31, 2023 | 34.66 Bn |
| Sep 30, 2023 | 38.56 Bn |
| Jun 30, 2023 | 37.45 Bn |
| Mar 31, 2023 | 32.26 Bn |
| Dec 31, 2022 | 26.10 Bn |
| Sep 30, 2022 | 20.09 Bn |
| Jun 30, 2022 | 14.38 Bn |
| Mar 31, 2022 | 11.69 Bn |
| Dec 31, 2021 | 14.08 Bn |
| Sep 30, 2021 | 15.51 Bn |
API Access
Jpmorgan Chase EBIT 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=ebit&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();