American Tower (AMT) Exchange Rate Effect (2009 - 2026)
American Tower's Exchange Rate Effect was -$400,000 in Q2 2026, compared with $86.7 million a year earlier.
American Tower (AMT) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, American Tower's Exchange Rate Effect was $21.1 million through Jun 30, 2026, down 41.7% year-over-year; for FY2025, it came in at $101.3 million.
- In earlier years, Exchange Rate Effect was -$233.9 million in FY2024, $23.2 million in FY2023, -$120.4 million in FY2022 and -$70.3 million in FY2021.
- Quarterly Exchange Rate Effect has moved between -$119.5 million (Q2 2024) and $86.7 million (Q2 2025) over five years.
- Per Business Quant data, AMT's Exchange Rate Effect in the three quarters before Q2 2026 was $36.8 million (Q1 2026), -$11.2 million (Q4 2025) and -$4.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | American Tower | 76.26 Bn | 75.99 Bn | 2.72 Bn | -400,000.00 |
| 2 | Digital Realty Trust | 64.98 Bn | 55.50 Bn | - | 81.81 Mn |
| 3 | Crown Castle | 28.39 Bn | 27.14 Bn | 989.00 Mn | - |
| 4 | Sba Communications | 16.99 Bn | 17.07 Bn | 539.27 Mn | 1.52 Mn |
| 5 | Lamar Advertising | 12.56 Bn | 12.38 Bn | 422.53 Mn | -40,000.00 |
| 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 | -4.90 Mn |
| 9 | Fermi | 2.69 Bn | 1.82 Bn | - | - |
| 10 | Clear Channel Outdoor Holdings | 1.20 Bn | 488.27 Mn | 241.86 Mn | -292,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -400,000.00 |
| Mar 31, 2026 | 36.80 Mn |
| Dec 31, 2025 | -11.20 Mn |
| Sep 30, 2025 | -4.10 Mn |
| Jun 30, 2025 | 86.70 Mn |
| Mar 31, 2025 | 29.90 Mn |
| Dec 31, 2024 | -103.80 Mn |
| Sep 30, 2024 | 23.40 Mn |
| Jun 30, 2024 | -119.50 Mn |
| Mar 31, 2024 | -34.00 Mn |
| Dec 31, 2023 | 65.70 Mn |
| Sep 30, 2023 | -61.60 Mn |
| Jun 30, 2023 | 15.50 Mn |
| Mar 31, 2023 | 3.60 Mn |
| Dec 31, 2022 | 17.80 Mn |
| Sep 30, 2022 | -78.00 Mn |
| Jun 30, 2022 | -88.70 Mn |
| Mar 31, 2022 | 28.50 Mn |
| Dec 31, 2021 | -8.90 Mn |
| Sep 30, 2021 | -74.80 Mn |
American Tower Exchange Rate Effect 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=exchange-rate-effect&ticker=AMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=AMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();