Bank Of America Corp /De/ (BAC) Technology and Communications (2009 - 2026)
Analysis
Bank Of America Corp /De/ (BAC) Technology and Communications (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.92 Bn |
| Mar 31, 2026 | 2.02 Bn |
| Dec 31, 2025 | 1.91 Bn |
| Sep 30, 2025 | 1.83 Bn |
| Jun 30, 2025 | 1.82 Bn |
| Mar 31, 2025 | 1.89 Bn |
| Dec 31, 2024 | 1.88 Bn |
| Sep 30, 2024 | 1.78 Bn |
| Jun 30, 2024 | 1.76 Bn |
| Mar 31, 2024 | 1.80 Bn |
| Dec 31, 2023 | 1.69 Bn |
| Sep 30, 2023 | 1.68 Bn |
| Jun 30, 2023 | 1.64 Bn |
| Mar 31, 2023 | 1.70 Bn |
| Dec 31, 2022 | 1.66 Bn |
| Sep 30, 2022 | 1.55 Bn |
| Jun 30, 2022 | 1.54 Bn |
| Mar 31, 2022 | 1.54 Bn |
| Dec 31, 2021 | 1.48 Bn |
| Sep 30, 2021 | 1.42 Bn |
API Access
Bank Of America Corp /De/ Technology and Communications 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=technology-and-communications&ticker=BAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "technology-and-communications", "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=technology-and-communications&ticker=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();