Jpmorgan Chase (JPM) EPS (Diluted) (2009 - 2026)
Jpmorgan Chase (JPM) posted EPS (Diluted) of $7.70 for Q2 2026, up 47.1% from $5.24 a year earlier and up 29.8% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) EPS (Diluted) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Jpmorgan Chase was $23.62, up 19.6% year-over-year; for FY2025, it came in at $20.02, up 1.3% from FY2024.
- Annual EPS (Diluted) has increased for three consecutive years, with a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- In prior years, Jpmorgan Chase's EPS (Diluted) was $19.75 in FY2024 (+21.7%), $16.23 in FY2023 (+34.3%), $12.08 in FY2022 (-21.3%) and $15.36 in FY2021 (+73.1%).
- The Q2 2026 figure stands as the highest quarterly EPS (Diluted) in data going back to Q1 2009.
- On a year-over-year basis, EPS (Diluted) increased in six of the last eight quarters, with growth averaging 16.8%.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was Q2 2023, with growth of 72.0%; the weakest was Q1 2022, with a decline of 41.5%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $5.94 (Q1 2026), $4.56 (Q4 2025) and $5.07 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 7.70 |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 0.00 |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.20 |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 3.46 |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 3.06 |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2.15 |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 20.99 |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 2.00 |
| 10 | Banco Santander | 209.18 Bn | 216.79 Bn | - | 0.27 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.70 |
| Mar 31, 2026 | 5.94 |
| Dec 31, 2025 | 4.56 |
| Sep 30, 2025 | 5.07 |
| Jun 30, 2025 | 5.24 |
| Mar 31, 2025 | 5.07 |
| Dec 31, 2024 | 4.75 |
| Sep 30, 2024 | 4.37 |
| Jun 30, 2024 | 6.12 |
| Mar 31, 2024 | 4.44 |
| Dec 31, 2023 | 3.01 |
| Sep 30, 2023 | 4.33 |
| Jun 30, 2023 | 4.75 |
| Mar 31, 2023 | 4.10 |
| Dec 31, 2022 | 3.57 |
| Sep 30, 2022 | 3.12 |
| Jun 30, 2022 | 2.76 |
| Mar 31, 2022 | 2.63 |
| Dec 31, 2021 | 3.28 |
| Sep 30, 2021 | 3.74 |
API Access
Jpmorgan Chase EPS (Diluted) 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=eps-diluted&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();