American Tower Corp /Ma/ (AMT) EV to EBITDA (2009 - 2026)
American Tower's EV to EBITDA was 11.61 in Q2 2026, down 28.2% from 16.18 a year earlier and down 6.2% from the prior quarter.
American Tower Corp /Ma/ (AMT) EV to EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Tower's EV to EBITDA was 10.89 through Jun 30, 2026, down 28.5% year-over-year; for FY2025, it came in at 12.65, down 6.7% from FY2024.
- EV to EBITDA has now declined for four consecutive years.
- In earlier years, EV to EBITDA was 13.55 in FY2024 (-20.3%), 17.00 in FY2023 (-0.4%), 17.06 in FY2022 (-31.1%) and 24.77 in FY2021 (+20.0%).
- The Q2 2026 figure marks the lowest quarterly EV to EBITDA since Q1 2009.
- Compared with a year earlier, EV to EBITDA has declined for four straight quarters, with an average decline of 6.1% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was Q3 2024 (growth of 34.4%); the worst was Q4 2022 (a decline of 31.1%).
- Per Business Quant data, AMT's EV to EBITDA in the three quarters before Q2 2026 was 12.39 (Q1 2026), 12.65 (Q4 2025) and 13.98 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.61 |
| Mar 31, 2026 | 12.39 |
| Dec 31, 2025 | 12.65 |
| Sep 30, 2025 | 13.98 |
| Jun 30, 2025 | 16.18 |
| Mar 31, 2025 | 15.85 |
| Dec 31, 2024 | 13.55 |
| Sep 30, 2024 | 17.56 |
| Jun 30, 2024 | 14.73 |
| Mar 31, 2024 | 15.20 |
| Dec 31, 2023 | 17.00 |
| Sep 30, 2023 | 13.07 |
| Jun 30, 2023 | 15.60 |
| Mar 31, 2023 | 16.45 |
| Dec 31, 2022 | 17.06 |
| Sep 30, 2022 | 17.40 |
| Jun 30, 2022 | 20.60 |
| Mar 31, 2022 | 20.62 |
| Dec 31, 2021 | 24.77 |
| Sep 30, 2021 | 22.74 |
American Tower Corp /Ma/ EV to EBITDA 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=ev-to-ebitda&ticker=AMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=AMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();