American Tower Corp /Ma/ (AMT) Accounts Payable and Accrued Liabilities (2009 - 2026)
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Analysis
American Tower Corp /Ma/ (AMT) Accounts Payable and Accrued Liabilities (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 202.80 Mn |
| Mar 31, 2026 | 220.80 Mn |
| Dec 31, 2025 | 259.80 Mn |
| Sep 30, 2025 | 239.00 Mn |
| Jun 30, 2025 | 229.70 Mn |
| Mar 31, 2025 | 199.60 Mn |
| Dec 31, 2024 | 240.80 Mn |
| Sep 30, 2024 | 221.30 Mn |
| Jun 30, 2024 | 206.00 Mn |
| Mar 31, 2024 | 182.10 Mn |
| Dec 31, 2023 | 251.30 Mn |
| Sep 30, 2023 | 216.20 Mn |
| Jun 30, 2023 | 216.20 Mn |
| Mar 31, 2023 | 206.00 Mn |
| Dec 31, 2022 | 218.60 Mn |
| Sep 30, 2022 | 212.00 Mn |
| Jun 30, 2022 | 194.50 Mn |
| Mar 31, 2022 | 215.40 Mn |
| Dec 31, 2021 | 272.40 Mn |
| Sep 30, 2021 | 217.40 Mn |
API Access
American Tower Corp /Ma/ Accounts Payable and Accrued Liabilities 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=accounts-payable-and-accrued-liabilities&ticker=AMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payable-and-accrued-liabilities", "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=accounts-payable-and-accrued-liabilities&ticker=AMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();