Bank Of America Corp /De/ (BAC) Change in Accrued Expenses (2009 - 2026)
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Analysis
Bank Of America Corp /De/ (BAC) 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 | 27.13 Bn |
| Mar 31, 2026 | 14.54 Bn |
| Dec 31, 2025 | -2.92 Bn |
| Sep 30, 2025 | 10.80 Bn |
| Jun 30, 2025 | 17.75 Bn |
| Mar 31, 2025 | -8.31 Bn |
| Dec 31, 2024 | -13.56 Bn |
| Sep 30, 2024 | 8.40 Bn |
| Jun 30, 2024 | -724.00 Mn |
| Mar 31, 2024 | 6.91 Bn |
| Dec 31, 2023 | -62.00 Mn |
| Sep 30, 2023 | 363.00 Mn |
| Jun 30, 2023 | -11.38 Bn |
| Mar 31, 2023 | -7.07 Bn |
| Dec 31, 2022 | -840.00 Mn |
| Sep 30, 2022 | 9.62 Bn |
| Jun 30, 2022 | -5.57 Bn |
| Mar 31, 2022 | 19.82 Bn |
| Dec 31, 2021 | 7.93 Bn |
| Sep 30, 2021 | 6.41 Bn |
API Access
Bank Of America Corp /De/ 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=BAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accrued-expenses", "ticker": "BAC", "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=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();