Bank Of America Corp /De/ (BAC) Marketing and Advertising (2009 - 2026)
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Analysis
Bank Of America Corp /De/ (BAC) Marketing and Advertising (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 736.00 Mn |
| Mar 31, 2026 | 533.00 Mn |
| Dec 31, 2025 | 563.00 Mn |
| Sep 30, 2025 | 572.00 Mn |
| Jun 30, 2025 | 563.00 Mn |
| Mar 31, 2025 | 506.00 Mn |
| Dec 31, 2024 | 510.00 Mn |
| Sep 30, 2024 | 504.00 Mn |
| Jun 30, 2024 | 487.00 Mn |
| Mar 31, 2024 | 455.00 Mn |
| Dec 31, 2023 | 455.00 Mn |
| Sep 30, 2023 | 501.00 Mn |
| Jun 30, 2023 | 513.00 Mn |
| Mar 31, 2023 | 458.00 Mn |
| Dec 31, 2022 | 460.00 Mn |
| Sep 30, 2022 | 505.00 Mn |
| Jun 30, 2022 | 463.00 Mn |
| Mar 31, 2022 | 397.00 Mn |
| Dec 31, 2021 | 411.00 Mn |
| Sep 30, 2021 | 347.00 Mn |
API Access
Bank Of America Corp /De/ Marketing and Advertising 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=marketing-and-advertising&ticker=BAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "marketing-and-advertising", "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=marketing-and-advertising&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();