Agilent Technologies Inc (A)
Agilent Technologies, Inc. is a leading American company specializing in analytical instrumentation, providing advanced solutions that cater to a diverse array of markets worldwide. Headquartered in Santa Clara, California, Agilent delivers innovative products and services essential for scientific research, diagnostics, and quality control. The company's robust portfolio includes instruments and software for life sciences, diagnostics, and applied chemical markets, positioning it as a key player in the global analytical economy. With a strong focus on innovation and customer-centric solutions, Agilent remains committed to supporting the changing needs of its clients across various industries.
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 69.28% per annum.
- A price at the close of October 31, 2025 was $146.36 and was inside the primary price channel.
- The secondary trend is increasing.
- The growth rate of the secondary trend is 186.19% per annum.
- A price at the close of October 31, 2025 was inside the secondary price channel.
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 A 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
=
April 4, 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 31, 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 69.28% per annum.
- A price at the close of October 31, 2025 was $146.36 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
=
July 31, 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 31, 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 increasing.
- The growth rate of the secondary trend is 186.19% per annum.
- A price at the close of October 31, 2025 was inside the secondary price channel.