American Tower Corp /Ma/ (AMT) Income before Taxes (2009 - 2026)
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Analysis
American Tower Corp /Ma/ (AMT) Income before Taxes (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Bn |
| Mar 31, 2026 | 1.02 Bn |
| Dec 31, 2025 | 964.90 Mn |
| Sep 30, 2025 | 950.00 Mn |
| Jun 30, 2025 | 511.80 Mn |
| Mar 31, 2025 | 617.50 Mn |
| Dec 31, 2024 | 1.31 Bn |
| Sep 30, 2024 | 550.50 Mn |
| Jun 30, 2024 | 847.30 Mn |
| Mar 31, 2024 | 921.30 Mn |
| Dec 31, 2023 | -68.80 Mn |
| Sep 30, 2023 | 824.30 Mn |
| Jun 30, 2023 | 474.70 Mn |
| Mar 31, 2023 | 368.40 Mn |
| Dec 31, 2022 | -393.30 Mn |
| Sep 30, 2022 | 855.80 Mn |
| Jun 30, 2022 | 898.30 Mn |
| Mar 31, 2022 | 725.20 Mn |
| Dec 31, 2021 | 528.50 Mn |
| Sep 30, 2021 | 777.60 Mn |
API Access
American Tower Corp /Ma/ Income before Taxes 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=income-before-taxes&ticker=AMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-before-taxes", "ticker": "AMT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=income-before-taxes&ticker=AMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();