Jpmorgan Chase (JPM) Total Non-Current Liabilities (2009 - 2026)
Jpmorgan Chase (JPM) recorded Total Non-Current Liabilities of $4.64 trillion in Q2 2026, up 10.6% from $4.2 trillion a year earlier and up 2.3% from the prior quarter.
Jpmorgan Chase (JPM) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Jpmorgan Chase reported Total Non-Current Liabilities of $4.06 trillion, up 11.4% from FY2024.
- Annual Total Non-Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $3.65 trillion in FY2024 (+3.1%), $3.54 trillion in FY2023 (+5.1%), $3.36 trillion in FY2022 (-2.2%) and $3.44 trillion in FY2021 (+11.1%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2009.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 12 consecutive quarters, with growth averaging 9.0% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 16.6% in Q3 2021, against a decline of 6.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.54 trillion (Q1 2026), $4.06 trillion (Q4 2025) and $4.2 trillion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 903.97 Bn | 903.97 Bn | - | - |
| 2 | Bank Of America | 356.92 Bn | -2,019.15 Bn | - | 3,155.50 Bn |
| 3 | Hsbc Holdings | 296.96 Bn | -1,806.64 Bn | - | 2,989.35 Bn |
| 4 | Morgan Stanley | 285.10 Bn | 285.10 Bn | - | - |
| 5 | Royal Bank Of Canada | 284.66 Bn | -545.38 Bn | - | 1,595.35 Bn |
| 6 | Goldman Sachs | 266.61 Bn | 266.61 Bn | - | - |
| 7 | Wells Fargo & Company | 250.94 Bn | 250.94 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 245.01 Bn | -96.38 Bn | 10.89 Bn | 2,410.98 Bn |
| 9 | Toronto Dominion Bank | 214.22 Bn | -461.66 Bn | - | 1,392.72 Bn |
| 10 | American Express | 214.16 Bn | 13.64 Bn | - | 230.16 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4,639.66 Bn |
| Mar 31, 2026 | 4,535.80 Bn |
| Dec 31, 2025 | 4,061.77 Bn |
| Sep 30, 2025 | 4,199.38 Bn |
| Jun 30, 2025 | 4,195.09 Bn |
| Mar 31, 2025 | 4,006.00 Bn |
| Dec 31, 2024 | 3,645.25 Bn |
| Sep 30, 2024 | 3,863.79 Bn |
| Jun 30, 2024 | 3,802.12 Bn |
| Mar 31, 2024 | 3,753.81 Bn |
| Dec 31, 2023 | 3,535.75 Bn |
| Sep 30, 2023 | 3,580.72 Bn |
| Jun 30, 2023 | 3,555.48 Bn |
| Mar 31, 2023 | 3,440.97 Bn |
| Dec 31, 2022 | 3,362.69 Bn |
| Sep 30, 2022 | 3,485.59 Bn |
| Jun 30, 2022 | 3,554.90 Bn |
| Mar 31, 2022 | 3,668.54 Bn |
| Dec 31, 2021 | 3,439.86 Bn |
| Sep 30, 2021 | 3,467.30 Bn |
Jpmorgan Chase Total Non-Current 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-non-current-liabilities&ticker=JPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();