American Tower (AMT) Interest Expenses (2009 - 2026)
American Tower (AMT) recorded Interest Expenses of $354.5 million in Q2 2026, up 3.5% from $342.6 million a year earlier and up 2.1% from the prior quarter.
American Tower (AMT) Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, American Tower's Interest Expenses came in at $1.39 billion as of Jun 30, 2026, up 3.5% year-over-year; for FY2025, it came in at $1.36 billion, down 3.2% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $1.4 billion in FY2024 (+1.2%), $1.39 billion in FY2023 (+22.2%), $1.14 billion in FY2022 (+30.4%) and $870.9 million in FY2021 (+9.8%).
- The Q2 2026 figure is the highest quarterly Interest Expenses since Q3 2024.
- On a year-over-year basis, Interest Expenses has increased for three consecutive quarters, with an average decline of 1.1% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 35.2% in Q4 2022, against a decline of 10.6% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $347.3 million (Q1 2026), $344.4 million (Q4 2025) and $347.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 76.26 Bn | 75.99 Bn | 2.72 Bn | 354.50 Mn |
| 2 | Digital Realty Trust | 64.98 Bn | 55.50 Bn | - | 113.94 Mn |
| 3 | Crown Castle | 28.39 Bn | 27.14 Bn | 989.00 Mn | 208.00 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 | 41.11 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 | 10.86 Mn |
| 8 | IHS Holding | 2.80 Bn | -57.74 Mn | 207.10 Mn | -105.50 Mn |
| 9 | Fermi | 2.69 Bn | 1.82 Bn | - | -953,000.00 |
| 10 | Clear Channel Outdoor Holdings | 1.20 Bn | 488.27 Mn | 241.86 Mn | 99.03 Mn |
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 |
| Jun 30, 2023 | 348.10 Mn |
| Mar 31, 2023 | 340.20 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 |
American Tower Interest 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=interest-expenses&ticker=AMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=AMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();