Stock Price Trends

XPO Logistics Inc (XPO)

XPO Logistics, Inc. is a leading global provider of supply chain solutions, specializing in transportation and logistics services across North America, Europe, and beyond. Headquartered in Greenwich, Connecticut, the company offers a comprehensive suite of services, including last mile delivery, freight brokerage, and contract logistics, catering to a diverse range of industries. With a strong focus on technology-driven innovation, XPO enhances operational efficiency and supply chain visibility, positioning itself as a pivotal partner for businesses seeking to optimize their logistics operations in an increasingly complex global marketplace.

Stock Price Trends

Stock price trends estimated using linear regression.

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Key facts

  • The primary trend is increasing.
  • The growth rate of the primary trend is 10.01% per annum.
  • XPO price at the close of February 13, 2026 was $195.33 and was higher than the top border of the primary price channel by $26.73 (15.86%).
  • The secondary trend is increasing.
  • The growth rate of the secondary trend is 50.14% per annum.
  • XPO price at the close of February 13, 2026 was higher than the top border of the secondary price channel by $20.78 (11.91%).

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 XPO 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 7, 2024 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()
= $

January 30, 2026 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 10.01% per annum.
  • XPO price at the close of February 13, 2026 was $195.33 and was higher than the top border of the primary price channel by $26.73 (15.86%).

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
=

March 6, 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()
= $

February 5, 2026 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 50.14% per annum.
  • XPO price at the close of February 13, 2026 was higher than the top border of the secondary price channel by $20.78 (11.91%).