# Essential Properties Realty Trust, Inc. (EPRT)

essential properties realty trust, inc. (nyse: eprt) is a publicly-traded real estate company based in princeton, nj, that owns, acquires, and manages single-tenant net lease (stnl) properties. by utilizing sale-leaseback transactions, essential provides growth capital to middle-market companies with attractive credit profiles and stable operating histories. essential primarily targets tenants that operate service-oriented and experience-based businesses within industries like restaurants; car washes and automotive services; convenience stores and gas stations; medical, dental, and veterinarian services; early childhood education; movie theaters and entertainment; and health and fitness. as of march 31, 2018, essential owned 530 properties occupied by 127 tenants operating 112 different concepts in 15 industries across 42 states.

## Stock Price Trends

Stock price trends estimated using linear regression.

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#### Key facts

• The primary trend is decreasing.
• The decline rate of the primary trend is 17.65% per annum.
• EPRT price at the close of March 1, 2024 was \$24.37 and was higher than the top border of the primary price channel by \$4.36 (21.79%). This indicates a possible reversal in the primary trend direction.
• The secondary trend is increasing.
• The growth rate of the secondary trend is 5.62% per annum.
• EPRT price at the close of March 1, 2024 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 EPRT 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
=

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### April 20, 2021 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 10, 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()
= \$

#### Description

• The primary trend is decreasing.
• The decline rate of the primary trend is 17.65% per annum.
• EPRT price at the close of March 1, 2024 was \$24.37 and was higher than the top border of the primary price channel by \$4.36 (21.79%). This indicates a possible reversal in the primary trend direction.

### Secondary Trend

Start date:
End date:

a =

b =

s =

Annual growth rate:

Exp(365 × b) – 1
= Exp(365 × ) – 1
=

Exp(4 × s) – 1
= Exp(4 × ) – 1
=

#### April 29, 2022 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()
= \$

#### March 1, 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()
= \$

#### Description

• The secondary trend is increasing.
• The growth rate of the secondary trend is 5.62% per annum.
• EPRT price at the close of March 1, 2024 was inside the secondary price channel.