Jpmorgan Chase (JPM) Preferred Dividends & Other Adjustments (2009 - 2026)
Jpmorgan Chase (JPM) reported Preferred Dividends & Other Adjustments of $403 million for Q2 2026, up 12.9% from $357 million a year earlier and up 16.5% from the prior quarter.
Jpmorgan Chase (JPM) Preferred Dividends & Other Adjustments (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Jpmorgan Chase's Preferred Dividends & Other Adjustments came in at $1.43 billion, up 3.9% year-over-year; for FY2025, it came in at $1.37 billion, down 14.7% from FY2024.
- Preferred Dividends & Other Adjustments has a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- By year, Preferred Dividends & Other Adjustments came in at $1.6 billion in FY2024 (-10.5%), $1.79 billion in FY2023 (+0.4%), $1.78 billion in FY2022 (-2.6%) and $1.83 billion in FY2021 (+6.4%).
- The Q2 2026 figure ranks as the highest quarterly Preferred Dividends & Other Adjustments since Q2 2024.
- Year over year, Preferred Dividends & Other Adjustments gained in two of the last eight quarters, with an average decline of 9.8%.
- The high point for year-over-year Preferred Dividends & Other Adjustments in five years was Q2 2026 (growth of 12.9%); the low point was Q1 2025 (a decline of 31.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $346 million (Q1 2026), $335 million (Q4 2025) and $350 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Pref. Div. & Adj. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 369.00 Mn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 392.00 Mn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 158.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 172.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 248.00 Mn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | American Express | 217.14 Bn | 16.62 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 369.00 Mn |
| Jun 30, 2026 | 403.00 Mn |
| Mar 31, 2026 | 346.00 Mn |
| Dec 31, 2025 | 335.00 Mn |
| Sep 30, 2025 | 350.00 Mn |
| Jun 30, 2025 | 357.00 Mn |
| Mar 31, 2025 | 326.00 Mn |
| Dec 31, 2024 | 336.00 Mn |
| Sep 30, 2024 | 361.00 Mn |
| Jun 30, 2024 | 431.00 Mn |
| Mar 31, 2024 | 477.00 Mn |
| Dec 31, 2023 | 436.00 Mn |
| Sep 30, 2023 | 466.00 Mn |
| Jun 30, 2023 | 461.00 Mn |
| Mar 31, 2023 | 429.00 Mn |
| Dec 31, 2022 | 411.00 Mn |
| Sep 30, 2022 | 482.00 Mn |
| Jun 30, 2022 | 454.00 Mn |
| Mar 31, 2022 | 437.00 Mn |
| Dec 31, 2021 | 472.00 Mn |
Jpmorgan Chase Preferred Dividends & Other Adjustments 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=preferred-dividends-and-other-adjustments&ticker=JPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "preferred-dividends-and-other-adjustments", "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=preferred-dividends-and-other-adjustments&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();