Jpmorgan Chase (JPM) Loans - Net (2009 - 2026)
Jpmorgan Chase (JPM) recorded Loans - Net of $1.56 trillion in Q3 2026, up 10.6% from $1.41 trillion a year earlier and up 2.8% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Loans - Net (2009 - 2026) Analysis & Trends
At the end of FY2025, Jpmorgan Chase reported Loans - Net of $1.47 trillion, up 10.9% from FY2024.
- Annual Loans - Net has increased for five straight years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Across earlier years, Loans - Net came in at $1.32 trillion in FY2024 (+1.7%), $1.3 trillion in FY2023 (+16.6%), $1.12 trillion in FY2022 (+5.1%) and $1.06 trillion in FY2021 (+7.8%).
- The Q3 2026 figure is the highest quarterly Loans - Net in data going back to Q2 2009.
- On a year-over-year basis, Loans - Net has increased for 22 consecutive quarters, with growth averaging 7.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Loans - Net ran from 1.5% in Q2 2024 to 17.7% in Q3 2023.
- Per Business Quant, the preceding three quarters came in at $1.52 trillion (Q2 2026), $1.48 trillion (Q1 2026) and $1.47 trillion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Net (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 1,558.37 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 1,238.26 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 1,029.86 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 297.21 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 791.32 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 275.65 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1,034.29 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 227.18 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1,558.37 Bn |
| Jun 30, 2026 | 1,516.31 Bn |
| Mar 31, 2026 | 1,477.59 Bn |
| Dec 31, 2025 | 1,467.66 Bn |
| Sep 30, 2025 | 1,409.51 Bn |
| Jun 30, 2025 | 1,387.04 Bn |
| Mar 31, 2025 | 1,330.49 Bn |
| Dec 31, 2024 | 1,323.64 Bn |
| Sep 30, 2024 | 1,316.06 Bn |
| Jun 30, 2024 | 1,297.71 Bn |
| Mar 31, 2024 | 1,287.27 Bn |
| Dec 31, 2023 | 1,301.29 Bn |
| Sep 30, 2023 | 1,288.11 Bn |
| Jun 30, 2023 | 1,278.09 Bn |
| Mar 31, 2023 | 1,108.84 Bn |
| Dec 31, 2022 | 1,115.92 Bn |
| Sep 30, 2022 | 1,094.45 Bn |
| Jun 30, 2022 | 1,086.41 Bn |
| Mar 31, 2022 | 1,056.09 Bn |
| Dec 31, 2021 | 1,061.33 Bn |
API Access
Jpmorgan Chase Loans - Net 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=loans-net&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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=loans-net&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();