American Tower Corp /Ma/ (AMT) Notes, Term Loans and Credit Facilities (2009 - 2026)
Analysis
American Tower Corp /Ma/ (AMT) Notes, Term Loans and Credit Facilities (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.96 Bn |
| Mar 31, 2026 | 31.20 Bn |
| Dec 31, 2025 | 33.83 Bn |
| Sep 30, 2025 | 34.85 Bn |
| Jun 30, 2025 | 35.19 Bn |
| Mar 31, 2025 | 34.05 Bn |
| Dec 31, 2024 | 32.81 Bn |
| Sep 30, 2024 | 33.37 Bn |
| Jun 30, 2024 | 35.64 Bn |
| Mar 31, 2024 | 36.19 Bn |
| Dec 31, 2023 | 35.73 Bn |
| Sep 30, 2023 | 35.44 Bn |
| Jun 30, 2023 | 35.59 Bn |
| Mar 31, 2023 | 34.69 Bn |
| Dec 31, 2022 | 34.16 Bn |
| Sep 30, 2022 | 35.31 Bn |
| Jun 30, 2022 | 37.24 Bn |
| Mar 31, 2022 | 38.15 Bn |
| Dec 31, 2021 | 38.69 Bn |
| Sep 30, 2021 | 31.44 Bn |
API Access
American Tower Corp /Ma/ Notes, Term Loans and Credit Facilities 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=notes-term-loans-and-credit-facilities&ticker=AMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-term-loans-and-credit-facilities", "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=notes-term-loans-and-credit-facilities&ticker=AMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();