Jpmorgan Chase & Co (JPM) Change in Accrued Expenses (2009 - 2026)
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Analysis
Jpmorgan Chase & Co (JPM) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.64 Bn |
| Mar 31, 2026 | 36.86 Bn |
| Dec 31, 2025 | -714.00 Mn |
| Sep 30, 2025 | 13.74 Bn |
| Jun 30, 2025 | -9.04 Bn |
| Mar 31, 2025 | 1.28 Bn |
| Dec 31, 2024 | -17.49 Bn |
| Sep 30, 2024 | 4.24 Bn |
| Jun 30, 2024 | 1.55 Bn |
| Mar 31, 2024 | 11.61 Bn |
| Dec 31, 2023 | -13.43 Bn |
| Sep 30, 2023 | 12.61 Bn |
| Jun 30, 2023 | 3.28 Bn |
| Mar 31, 2023 | -27.85 Bn |
| Dec 31, 2022 | -17.35 Bn |
| Sep 30, 2022 | 4.99 Bn |
| Jun 30, 2022 | 6.24 Bn |
| Mar 31, 2022 | 64.74 Bn |
| Dec 31, 2021 | -4.39 Bn |
| Sep 30, 2021 | 16.78 Bn |
API Access
Jpmorgan Chase & Co Change in Accrued Expenses 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-accrued-expenses&ticker=JPM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-expenses", "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-accrued-expenses&ticker=JPM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();