American Tower Corp (AMT)
American Tower Corporation (AMT) is a leading real estate investment trust (REIT) that specializes in owning and operating a diversified portfolio of wireless and broadcast communications infrastructure across multiple countries. Headquartered in Boston, Massachusetts, the company plays a critical role in facilitating wireless communications by providing essential assets, such as cellular towers, to telecommunications providers and broadcasters. With a strong focus on expanding its global footprint, American Tower is strategically positioned to benefit from the increasing demand for mobile connectivity and the ongoing evolution of communication technologies, making it a compelling investment opportunity for institutional investors.
Stock Price Trends
Stock price trends estimated using linear regression.
Paying users area
Try for free
Stock pages available for free today:
The data is hidden behind and trends are not shown in the charts.
Unhide data and trends.
Get full access to the entire website.
This is a one-time payment. There is no automatic renewal.
Key facts
- The primary trend is increasing.
- The growth rate of the primary trend is 9.33% per annum.
- AMT price at the close of October 17, 2025 was $191.29 and was inside the primary price channel.
- The secondary trend is decreasing.
- The decline rate of the secondary trend is 49.67% per annum.
- AMT price at the close of October 17, 2025 was inside the secondary price channel.
- The direction of the secondary trend is opposite to the direction of the primary trend. This indicates a possible reversal in the direction of the primary trend.
Linear Regression Model
Model equation:
Yi = α + β × Xi + εi
Top border of price channel:
Exp(Yi) = Exp(a + b × Xi + 2 × s)
Bottom border of price channel:
Exp(Yi) = Exp(a + b × Xi – 2 × s)
where:
i - observation number
Yi - natural logarithm of AMT price
Xi - time index, 1 day interval
σ - standard deviation of εi
a - estimator of α
b - estimator of β
s - estimator of σ
Exp() - calculates the exponent of e
Primary Trend
Start date:
End date:
a =
b =
s =
Annual growth rate:
Exp(365 × b) – 1
= Exp(365 × ) – 1
=
Price channel spread:
Exp(4 × s) – 1
= Exp(4 × ) – 1
=
February 22, 2023 calculations
Top border of price channel:
Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= $
Bottom border of price channel:
Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= $
September 2, 2025 calculations
Top border of price channel:
Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= $
Bottom border of price channel:
Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= $
Description
- The primary trend is increasing.
- The growth rate of the primary trend is 9.33% per annum.
- AMT price at the close of October 17, 2025 was $191.29 and was inside the primary price channel.
Secondary Trend
Start date:
End date:
a =
b =
s =
Annual growth rate:
Exp(365 × b) – 1
= Exp(365 × ) – 1
=
Price channel spread:
Exp(4 × s) – 1
= Exp(4 × ) – 1
=
June 30, 2025 calculations
Top border of price channel:
Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= $
Bottom border of price channel:
Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= $
October 15, 2025 calculations
Top border of price channel:
Exp(Y)
= Exp(a + b × X + 2 × s)
= Exp(a + b × + 2 × s)
= Exp( + × + 2 × )
= Exp()
= $
Bottom border of price channel:
Exp(Y)
= Exp(a + b × X – 2 × s)
= Exp(a + b × – 2 × s)
= Exp( + × – 2 × )
= Exp()
= $
Description
- The secondary trend is decreasing.
- The decline rate of the secondary trend is 49.67% per annum.
- AMT price at the close of October 17, 2025 was inside the secondary price channel.