Jpmorgan Chase (JPM) Income After Tax (2009 - 2026)
Jpmorgan Chase (JPM) posted Income After Tax of $21.16 billion for Q2 2026, up 41.2% from $14.99 billion a year earlier and up 28.3% from the prior quarter.
Jpmorgan Chase (JPM) Income After Tax (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Income After Tax at Jpmorgan Chase was $65.07 billion, up 15.1% year-over-year; for FY2025, it came in at $57.05 billion, down 2.4% from FY2024.
- Annual Income After Tax shows a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In prior years, Jpmorgan Chase's Income After Tax was $58.47 billion in FY2024 (+18.0%), $49.55 billion in FY2023 (+31.5%), $37.68 billion in FY2022 (-22.1%) and $48.33 billion in FY2021 (+65.9%).
- The Q2 2026 figure stands as the highest quarterly Income After Tax in data going back to Q1 2009.
- On a year-over-year basis, Income After Tax increased in five of the last eight quarters, with growth averaging 12.3%.
- The strongest year-over-year quarter for Income After Tax in the past five years was Q2 2023, with growth of 67.3%; the weakest was Q1 2022, with a decline of 42.1%.
- According to Business Quant data, Income After Tax for the three prior quarters was $16.49 billion (Q1 2026), $13.03 billion (Q4 2025) and $14.39 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 15.31 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 6.93 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 11.69 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 4.97 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 4.32 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 5.29 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 1.55 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 5.94 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 3.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.31 Bn |
| Jun 30, 2026 | 21.16 Bn |
| Mar 31, 2026 | 16.49 Bn |
| Dec 31, 2025 | 13.03 Bn |
| Sep 30, 2025 | 14.39 Bn |
| Jun 30, 2025 | 14.99 Bn |
| Mar 31, 2025 | 14.64 Bn |
| Dec 31, 2024 | 14.01 Bn |
| Sep 30, 2024 | 12.90 Bn |
| Jun 30, 2024 | 18.15 Bn |
| Mar 31, 2024 | 13.42 Bn |
| Dec 31, 2023 | 9.31 Bn |
| Sep 30, 2023 | 13.15 Bn |
| Jun 30, 2023 | 14.47 Bn |
| Mar 31, 2023 | 12.62 Bn |
| Dec 31, 2022 | 11.01 Bn |
| Sep 30, 2022 | 9.74 Bn |
| Jun 30, 2022 | 8.65 Bn |
| Mar 31, 2022 | 8.28 Bn |
| Dec 31, 2021 | 10.40 Bn |
Jpmorgan Chase Income After Tax 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=profit-after-tax&ticker=JPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();