Jpmorgan Chase (JPM) Provisions (2009 - 2026)
Jpmorgan Chase's Provisions was $2.52 billion in Q2 2026, down 11.7% from $2.85 billion a year earlier but up 0.3% from the prior quarter.
Jpmorgan Chase (JPM) Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jpmorgan Chase's Provisions was $13.08 billion through Jun 30, 2026, up 10.0% year-over-year; for FY2025, it came in at $14.21 billion, up 33.1% from FY2024.
- Provisions has now increased for three consecutive years, though with a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- In earlier years, Provisions was $10.68 billion in FY2024 (+12.8%), $9.47 billion in FY2023 (+48.2%), $6.39 billion in FY2022 and -$9.26 billion in FY2021.
- Quarterly Provisions has moved between -$1.53 billion (Q3 2021) and $4.66 billion (Q4 2025) over five years.
- Compared with a year earlier, Provisions was higher in five of the last eight quarters, with growth averaging 30.5%.
- The best year-over-year quarter for Provisions over five years was Q2 2023 (growth of 163.3%); the worst was Q1 2026 (a decline of 24.1%).
- Per Business Quant data, JPM's Provisions in the three quarters before Q2 2026 was $2.51 billion (Q1 2026), $4.66 billion (Q4 2025) and $3.4 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 914.00 Mn |
| 10 | Banco Santander | 208.29 Bn | 215.91 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.52 Bn |
| Mar 31, 2026 | 2.51 Bn |
| Dec 31, 2025 | 4.66 Bn |
| Sep 30, 2025 | 3.40 Bn |
| Jun 30, 2025 | 2.85 Bn |
| Mar 31, 2025 | 3.31 Bn |
| Dec 31, 2024 | 2.63 Bn |
| Sep 30, 2024 | 3.11 Bn |
| Jun 30, 2024 | 3.05 Bn |
| Mar 31, 2024 | 1.89 Bn |
| Dec 31, 2023 | 2.63 Bn |
| Sep 30, 2023 | 1.38 Bn |
| Jun 30, 2023 | 2.90 Bn |
| Mar 31, 2023 | 2.28 Bn |
| Dec 31, 2022 | 2.29 Bn |
| Sep 30, 2022 | 1.54 Bn |
| Jun 30, 2022 | 1.10 Bn |
| Mar 31, 2022 | 1.46 Bn |
| Dec 31, 2021 | -1.29 Bn |
| Sep 30, 2021 | -1.53 Bn |
Jpmorgan Chase Provisions 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=provisions&ticker=JPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();