American Tower Corp /Ma/ (AMT) Depreciation and Amortization (2009 - 2026)
Analysis
American Tower Corp /Ma/ (AMT) Depreciation and Amortization (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 514.40 Mn |
| Mar 31, 2026 | 518.20 Mn |
| Dec 31, 2025 | 515.90 Mn |
| Sep 30, 2025 | 522.90 Mn |
| Jun 30, 2025 | 510.30 Mn |
| Mar 31, 2025 | 492.50 Mn |
| Dec 31, 2024 | 500.90 Mn |
| Sep 30, 2024 | 498.50 Mn |
| Jun 30, 2024 | 520.60 Mn |
| Mar 31, 2024 | 508.80 Mn |
| Dec 31, 2023 | 724.90 Mn |
| Sep 30, 2023 | 723.20 Mn |
| Jun 30, 2023 | 764.60 Mn |
| Mar 31, 2023 | 794.10 Mn |
| Dec 31, 2022 | 624.50 Mn |
| Sep 30, 2022 | 898.10 Mn |
| Jun 30, 2022 | 826.50 Mn |
| Mar 31, 2022 | 815.80 Mn |
| Dec 31, 2021 | 643.90 Mn |
| Sep 30, 2021 | 611.40 Mn |
API Access
American Tower Corp /Ma/ Depreciation and Amortization 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=depreciation-and-amortization&ticker=AMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization", "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=depreciation-and-amortization&ticker=AMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();