Jpmorgan Chase (JPM) Loans - Loss Allowance (2009 - 2026)
Jpmorgan Chase (JPM) posted Loans - Loss Allowance of $26.15 billion for Q2 2026, up 4.8% from $24.95 billion a year earlier and up 0.9% from the prior quarter.
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Analysis
Jpmorgan Chase (JPM) Loans - Loss Allowance (2009 - 2026) Analysis & Trends
At the end of FY2025, Jpmorgan Chase's Loans - Loss Allowance came in at $25.77 billion, up 5.8% from FY2024.
- Annual Loans - Loss Allowance has increased for four consecutive years, though with a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- In prior years, Jpmorgan Chase's Loans - Loss Allowance was $24.35 billion in FY2024 (+8.6%), $22.42 billion in FY2023 (+13.7%), $19.73 billion in FY2022 (+20.4%) and $16.39 billion in FY2021 (-42.2%).
- The Q2 2026 figure stands as the highest quarterly Loans - Loss Allowance since Q4 2020.
- On a year-over-year basis, Loans - Loss Allowance has increased in each of the last 16 quarters, with growth averaging 7.5% over the last eight quarters.
- The strongest year-over-year quarter for Loans - Loss Allowance in the past five years was Q2 2023, with growth of 23.8%; the weakest was Q4 2021, with a decline of 42.2%.
- According to Business Quant data, Loans - Loss Allowance for the three prior quarters was $25.93 billion (Q1 2026), $25.77 billion (Q4 2025) and $25.74 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 347,603.00 |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 13.11 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.91 Bn |
| 10 | American Express | 205.34 Bn | -2.83 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.15 Bn |
| Mar 31, 2026 | 25.93 Bn |
| Dec 31, 2025 | 25.77 Bn |
| Sep 30, 2025 | 25.74 Bn |
| Jun 30, 2025 | 24.95 Bn |
| Mar 31, 2025 | 25.21 Bn |
| Dec 31, 2024 | 24.35 Bn |
| Sep 30, 2024 | 23.95 Bn |
| Jun 30, 2024 | 22.99 Bn |
| Mar 31, 2024 | 22.35 Bn |
| Dec 31, 2023 | 22.42 Bn |
| Sep 30, 2023 | 21.95 Bn |
| Jun 30, 2023 | 21.98 Bn |
| Mar 31, 2023 | 20.05 Bn |
| Dec 31, 2022 | 19.73 Bn |
| Sep 30, 2022 | 18.19 Bn |
| Jun 30, 2022 | 17.75 Bn |
| Mar 31, 2022 | 17.19 Bn |
| Dec 31, 2021 | 16.39 Bn |
| Sep 30, 2021 | 18.15 Bn |
API Access
Jpmorgan Chase Loans - Loss Allowance 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-loss-allowance&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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-loss-allowance&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();