Jpmorgan Chase (JPM) Change in Net Loans (2009 - 2026)
Jpmorgan Chase (JPM) recorded Change in Net Loans of $60 billion in Q2 2026, down 10.5% from $67.03 billion a year earlier but up 93.1% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Change in Net Loans (2009 - 2026) Analysis & Trends
On a TTM basis, Jpmorgan Chase's Change in Net Loans came in at $196.41 billion as of Jun 30, 2026, up 38.5% year-over-year; for FY2025, it was $188.5 billion, up 126.6% from FY2024.
- Annual Change in Net Loans has a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- Across earlier years, Change in Net Loans came in at $83.18 billion in FY2024 (-5.8%), $88.34 billion in FY2023 (-31.5%), $128.97 billion in FY2022 (+40.5%) and $91.8 billion in FY2021 (+82.6%).
- Quarterly Change in Net Loans has ranged from -$876 million in Q1 2024 to $67.03 billion in Q2 2025 over the past five years.
- On a year-over-year basis, Change in Net Loans rose in six of the last seven quarters, with growth averaging 59.5%.
- Peak year-over-year performance for Change in Net Loans in the last five years was growth of 163.4% in Q2 2025, against a decline of 87.6% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $31.08 billion (Q1 2026), $64.1 billion (Q4 2025) and $41.24 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 56.27 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | - |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 8.09 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | - |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 14.56 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 20.45 Bn |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 2.90 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 56.27 Bn |
| Jun 30, 2026 | 60.00 Bn |
| Mar 31, 2026 | 31.08 Bn |
| Dec 31, 2025 | 64.10 Bn |
| Sep 30, 2025 | 41.24 Bn |
| Jun 30, 2025 | 67.03 Bn |
| Mar 31, 2025 | 16.13 Bn |
| Dec 31, 2024 | 30.18 Bn |
| Sep 30, 2024 | 28.43 Bn |
| Jun 30, 2024 | 25.44 Bn |
| Mar 31, 2024 | -876.00 Mn |
| Dec 31, 2023 | 28.25 Bn |
| Sep 30, 2023 | 26.74 Bn |
| Jun 30, 2023 | 31.10 Bn |
| Mar 31, 2023 | 2.26 Bn |
| Dec 31, 2022 | 32.82 Bn |
| Sep 30, 2022 | 28.35 Bn |
| Jun 30, 2022 | 49.62 Bn |
| Mar 31, 2022 | 18.19 Bn |
| Dec 31, 2021 | 46.77 Bn |
API Access
Jpmorgan Chase Change in Net Loans 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=change-in-net-loans&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();