Jpmorgan Chase (JPM) Income Taxes Paid (2009 - 2026)
Jpmorgan Chase (JPM) posted Income Taxes Paid of $5.12 billion for Q2 2026, up 68.7% from $3.03 billion a year earlier and up 458.2% from the prior quarter.
Jpmorgan Chase (JPM) Income Taxes Paid (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Income Taxes Paid at Jpmorgan Chase was $6.66 billion, down 24.2% year-over-year; for FY2025, it came in at $5.31 billion, down 54.7% from FY2024.
- Annual Income Taxes Paid shows a five-year compound annual growth rate of -8.2% (FY2020 to FY2025).
- In prior years, Jpmorgan Chase's Income Taxes Paid was $11.72 billion in FY2024 (+18.2%), $9.91 billion in FY2023 (+127.5%), $4.36 billion in FY2022 (-76.8%) and $18.74 billion in FY2021 (+130.2%).
- The Q2 2026 figure stands as the highest quarterly Income Taxes Paid since Q2 2024.
- On a year-over-year basis, Income Taxes Paid increased in two of the last six quarters, with an average decline of 13.5%.
- The strongest year-over-year quarter for Income Taxes Paid in the past five years was Q4 2022, with growth of 268.7%; the weakest was Q2 2022, with a decline of 81.6%.
- According to Business Quant data, Income Taxes Paid for the three prior quarters was $917 million (Q1 2026), $2.14 billion (Q4 2025) and -$1.51 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 3.84 Bn |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | - |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | - |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 788.20 Mn |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 1.10 Bn |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | - |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Toronto Dominion Bank | 211.21 Bn | -464.66 Bn | - | 544.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.84 Bn |
| Jun 30, 2026 | 5.12 Bn |
| Mar 31, 2026 | 917.00 Mn |
| Dec 31, 2025 | 2.14 Bn |
| Sep 30, 2025 | -1.51 Bn |
| Jun 30, 2025 | 3.03 Bn |
| Mar 31, 2025 | 1.65 Bn |
| Dec 31, 2024 | 2.85 Bn |
| Sep 30, 2024 | 1.26 Bn |
| Jun 30, 2024 | 6.03 Bn |
| Mar 31, 2024 | 1.59 Bn |
| Dec 31, 2023 | 4.37 Bn |
| Sep 30, 2023 | 75.00 Mn |
| Jun 30, 2023 | 4.08 Bn |
| Mar 31, 2023 | 1.38 Bn |
| Dec 31, 2022 | 4.13 Bn |
| Sep 30, 2022 | -2.87 Bn |
| Jun 30, 2022 | 2.40 Bn |
| Mar 31, 2022 | 705.00 Mn |
| Dec 31, 2021 | 1.12 Bn |
Jpmorgan Chase Income Taxes Paid 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=income-taxes-paid&ticker=JPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();