Jpmorgan Chase (JPM) Receivables - Accured (2009 - 2026)
Jpmorgan Chase's Receivables - Accured came in at $179.94 billion for Q2 2026, up 44.6% from $124.46 billion a year earlier and up 26.4% from the prior quarter.
Jpmorgan Chase (JPM) Receivables - Accured (2009 - 2026) Analysis & Trends
At the end of FY2025, Jpmorgan Chase's Receivables - Accured was $111.6 billion, up 10.3% from FY2024.
- Receivables - Accured carries a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Going back by year, Receivables - Accured was $101.22 billion in FY2024 (-5.7%), $107.36 billion in FY2023 (-14.2%), $125.19 billion in FY2022 (+22.1%) and $102.57 billion in FY2021 (+13.3%).
- The Q2 2026 figure represents the highest quarterly Receivables - Accured in data going back to Q2 2009.
- Year-over-year, Receivables - Accured has increased for four consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- The fastest year-over-year change in Receivables - Accured over five years came in Q3 2021 (growth of 51.3%), and the weakest in Q1 2023 (a decline of 24.2%).
- Business Quant data shows JPM's Receivables - Accured at $142.33 billion (Q1 2026), $111.6 billion (Q4 2025) and $141.88 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables - Accured (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 179.94 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 4.54 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 280.43 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 7.08 Bn |
| 10 | Banco Santander | 209.18 Bn | 216.79 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 179.94 Bn |
| Mar 31, 2026 | 142.33 Bn |
| Dec 31, 2025 | 111.60 Bn |
| Sep 30, 2025 | 141.88 Bn |
| Jun 30, 2025 | 124.46 Bn |
| Mar 31, 2025 | 117.85 Bn |
| Dec 31, 2024 | 101.22 Bn |
| Sep 30, 2024 | 122.57 Bn |
| Jun 30, 2024 | 135.69 Bn |
| Mar 31, 2024 | 129.82 Bn |
| Dec 31, 2023 | 107.36 Bn |
| Sep 30, 2023 | 127.75 Bn |
| Jun 30, 2023 | 111.56 Bn |
| Mar 31, 2023 | 115.32 Bn |
| Dec 31, 2022 | 125.19 Bn |
| Sep 30, 2022 | 143.91 Bn |
| Jun 30, 2022 | 145.44 Bn |
| Mar 31, 2022 | 152.21 Bn |
| Dec 31, 2021 | 102.57 Bn |
| Sep 30, 2021 | 116.40 Bn |
Jpmorgan Chase Receivables - Accured 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=receivables-accured&ticker=JPM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-accured", "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=receivables-accured&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();