Jpmorgan Chase (JPM) Total Liabilities (2009 - 2026)
Jpmorgan Chase (JPM) posted Total Liabilities of $4.64 trillion for Q2 2026, up 10.6% from $4.2 trillion a year earlier and up 2.3% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Jpmorgan Chase's Total Liabilities came in at $4.06 trillion, up 11.1% from FY2024.
- Annual Total Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- In prior years, Jpmorgan Chase's Total Liabilities was $3.66 trillion in FY2024 (+3.1%), $3.55 trillion in FY2023 (+5.2%), $3.37 trillion in FY2022 (-2.2%) and $3.45 trillion in FY2021 (+11.1%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last 12 quarters, with growth averaging 9.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2021, with growth of 16.6%; the weakest was Q1 2023, with a decline of 6.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $4.54 trillion (Q1 2026), $4.06 trillion (Q4 2025) and $4.2 trillion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 2,099.88 Bn |
| 10 | Banco Santander | 209.18 Bn | 216.79 Bn | - | 2,137.08 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4,640.47 Bn |
| Mar 31, 2026 | 4,536.44 Bn |
| Dec 31, 2025 | 4,062.46 Bn |
| Sep 30, 2025 | 4,199.99 Bn |
| Jun 30, 2025 | 4,195.56 Bn |
| Mar 31, 2025 | 4,006.44 Bn |
| Dec 31, 2024 | 3,658.06 Bn |
| Sep 30, 2024 | 3,864.21 Bn |
| Jun 30, 2024 | 3,802.45 Bn |
| Mar 31, 2024 | 3,754.09 Bn |
| Dec 31, 2023 | 3,547.52 Bn |
| Sep 30, 2023 | 3,580.96 Bn |
| Jun 30, 2023 | 3,555.72 Bn |
| Mar 31, 2023 | 3,441.22 Bn |
| Dec 31, 2022 | 3,373.41 Bn |
| Sep 30, 2022 | 3,485.87 Bn |
| Jun 30, 2022 | 3,555.17 Bn |
| Mar 31, 2022 | 3,668.79 Bn |
| Dec 31, 2021 | 3,449.44 Bn |
| Sep 30, 2021 | 3,467.54 Bn |
API Access
Jpmorgan Chase Total Liabilities 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=total-liabilities&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();