American Tower Corp /Ma/ (AMT) Interest Expense (2009 - 2026)
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Analysis
American Tower Corp /Ma/ (AMT) Interest Expense (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 354.50 Mn |
| Mar 31, 2026 | 347.30 Mn |
| Dec 31, 2025 | 344.40 Mn |
| Sep 30, 2025 | 347.10 Mn |
| Jun 30, 2025 | 342.60 Mn |
| Mar 31, 2025 | 325.30 Mn |
| Dec 31, 2024 | 321.20 Mn |
| Sep 30, 2024 | 356.80 Mn |
| Jun 30, 2024 | 362.70 Mn |
| Mar 31, 2024 | 363.80 Mn |
| Dec 31, 2023 | 347.60 Mn |
| Sep 30, 2023 | 356.50 Mn |
| Dec 31, 2022 | 303.00 Mn |
| Sep 30, 2022 | 294.00 Mn |
| Jun 30, 2022 | 276.60 Mn |
| Mar 31, 2022 | 262.40 Mn |
| Dec 31, 2021 | 224.10 Mn |
| Sep 30, 2021 | 226.10 Mn |
| Jun 30, 2021 | 213.70 Mn |
| Mar 31, 2021 | 207.00 Mn |
API Access
American Tower Corp /Ma/ Interest Expense 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=interest-expense&ticker=AMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense", "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=interest-expense&ticker=AMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();