American Tower (AMT) Accumulated Expenses (2010 - 2026)
American Tower (AMT) reported Accumulated Expenses of $1.12 billion for Q2 2026, down 2.4% from $1.14 billion a year earlier but up 2.3% from the prior quarter.
American Tower (AMT) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, American Tower posted Accumulated Expenses of $1.11 billion, up 2.8% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $1.08 billion in FY2024 (+2.8%), $1.05 billion in FY2023 (-21.7%), $1.34 billion in FY2022 (-4.9%) and $1.41 billion in FY2021 (+35.4%).
- Five-year quarterly Accumulated Expenses spans a low of $982.3 million in Q3 2024 and a high of $1.41 billion in Q4 2021.
- Year over year, Accumulated Expenses gained in three of the last eight quarters, with growth averaging 0.3%.
- The high point for year-over-year Accumulated Expenses in five years was Q4 2021 (growth of 35.4%); the low point was Q4 2023 (a decline of 21.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.09 billion (Q1 2026), $1.11 billion (Q4 2025) and $1.23 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | American Tower | 76.26 Bn | 75.99 Bn | 2.72 Bn |
| 2 | Digital Realty Trust | 64.98 Bn | 55.50 Bn | - |
| 3 | Crown Castle | 28.39 Bn | 27.14 Bn | 989.00 Mn |
| 4 | Sba Communications | 16.99 Bn | 17.07 Bn | 539.27 Mn |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn |
| 6 | OUTFRONT Media | 4.89 Bn | 4.65 Bn | 276.40 Mn |
| 7 | Array Digital Infrastructure | 2.92 Bn | 1.81 Bn | 30.57 Mn |
| 8 | IHS Holding | 2.80 Bn | -57.74 Mn | 207.10 Mn |
| 9 | Fermi | 2.69 Bn | 1.82 Bn | - |
| 10 | Clear Channel Outdoor Holdings | 1.20 Bn | 488.27 Mn | 241.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.12 Bn |
| Mar 31, 2026 | 1.09 Bn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2025 | 1.23 Bn |
| Jun 30, 2025 | 1.14 Bn |
| Mar 31, 2025 | 1.12 Bn |
| Dec 31, 2024 | 1.08 Bn |
| Sep 30, 2024 | 982.30 Mn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 1.13 Bn |
| Dec 31, 2023 | 1.05 Bn |
| Sep 30, 2023 | 1.22 Bn |
| Jun 30, 2023 | 1.18 Bn |
| Mar 31, 2023 | 1.17 Bn |
| Dec 31, 2022 | 1.34 Bn |
| Sep 30, 2022 | 1.20 Bn |
| Jun 30, 2022 | 1.26 Bn |
| Mar 31, 2022 | 1.19 Bn |
| Dec 31, 2021 | 1.41 Bn |
| Sep 30, 2021 | 1.17 Bn |
American Tower Accumulated Expenses 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=accumulated-expenses&ticker=AMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();