Jpmorgan Chase (JPM) EPS (Diluted) (2009 - 2026)
Jpmorgan Chase (JPM) posted EPS (Diluted) of $5.68 for Q3 2026, up 12.0% from $5.07 a year earlier but down 26.2% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) EPS (Diluted) (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EPS (Diluted) at Jpmorgan Chase was $24.09, up 17.7% 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%).
- Quarterly EPS (Diluted) has run from a low of $2.63 in Q1 2022 to a high of $7.70 in Q2 2026 over five years.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last three quarters, with growth averaging 18.2% over the last eight quarters.
- 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 $7.70 (Q2 2026), $5.94 (Q1 2026) and $4.56 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 5.57 |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 1.50 |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 0.91 |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 2.02 |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 3.03 |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 3.06 |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 17.01 |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.87 |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 2.15 |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - | 5.51 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.57 |
| 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 |
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();