Jpmorgan Chase (JPM) Tax Provisions (2009 - 2026)
Jpmorgan Chase's Tax Provisions came in at $6.36 billion for Q2 2026, up 92.9% from $3.3 billion a year earlier and up 59.6% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jpmorgan Chase reported Tax Provisions of $18.83 billion, up 29.8% year-over-year; for FY2025, it came in at $15.55 billion, down 6.4% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $16.61 billion in FY2024 (+37.7%), $12.06 billion in FY2023 (+42.0%), $8.49 billion in FY2022 (-24.4%) and $11.23 billion in FY2021 (+68.0%).
- The Q2 2026 figure represents the highest quarterly Tax Provisions in data going back to Q1 2009.
- Year-over-year, Tax Provisions has increased for four consecutive quarters, with growth averaging 21.1% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q2 2026 (growth of 92.9%), and the weakest in Q1 2022 (a decline of 47.6%).
- Business Quant data shows JPM's Tax Provisions at $3.99 billion (Q1 2026), $4.14 billion (Q4 2025) and $4.35 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 1.40 Bn |
| 10 | Banco Santander | 209.18 Bn | 216.79 Bn | - | 4.67 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.36 Bn |
| Mar 31, 2026 | 3.99 Bn |
| Dec 31, 2025 | 4.14 Bn |
| Sep 30, 2025 | 4.35 Bn |
| Jun 30, 2025 | 3.30 Bn |
| Mar 31, 2025 | 3.77 Bn |
| Dec 31, 2024 | 3.37 Bn |
| Sep 30, 2024 | 4.08 Bn |
| Jun 30, 2024 | 5.29 Bn |
| Mar 31, 2024 | 3.87 Bn |
| Dec 31, 2023 | 2.02 Bn |
| Sep 30, 2023 | 3.58 Bn |
| Jun 30, 2023 | 3.11 Bn |
| Mar 31, 2023 | 3.35 Bn |
| Dec 31, 2022 | 2.23 Bn |
| Sep 30, 2022 | 2.26 Bn |
| Jun 30, 2022 | 2.22 Bn |
| Mar 31, 2022 | 1.78 Bn |
| Dec 31, 2021 | 2.26 Bn |
| Sep 30, 2021 | 2.42 Bn |
API Access
Jpmorgan Chase Tax Provisions 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=tax-provisions&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();