Global Net Lease GNL
NYSE GNL
$9.04 -0.05 (-0.55%)
At close: Aug 21, 2026 · 4:00 PM EDT

Global Net Lease (GNL) Cost of Revenue (2017 - 2019)

Global Net Lease (GNL) posted quarterly Cost of Revenue of $8.2 million for Q3 2019, up 18.17% year-over-year from $7.0 million in Q3 2018, and up 0.71% quarter-over-quarter from $8.2 million in Q2 2019.

Global Net Lease (GNL) Cost of Revenue (2017 - 2019) Analysis & Trends

Global Net Lease's Cost of Revenue history runs 3 years deep, the most recent figure standing at $8.2 million for Q3 2019.

  • In Q3 2019, Cost of Revenue rose 18.17% year-over-year to $8.2 million; the TTM figure through Sep 2019 stood at $31.7 million (up 15.19% YoY), while the FY2018 annual figure was $28.2 million, up 15.44% from the prior year.
  • Cost of Revenue for Q3 2019 stood at $8.2 million, up from $8.2 million in the prior quarter.
  • The five-year high for Cost of Revenue was $8.2 million in Q3 2019, with the low at $5.7 million in Q2 2017.
  • The 3-year median for Cost of Revenue is $7.0 million (2018), against an average of $7.1 million.
  • Peak annual rise in Cost of Revenue reached 24.94% in 2018, while the deepest fall reached 8.86% in 2018.
  • Global Net Lease's Cost of Revenue stood at $6.6 million in 2017, then rose by 10.34% to $7.3 million in 2018, then gained by 12.46% to $8.2 million in 2019.
  • Business Quant data shows GNL's Cost of Revenue at $8.2 million in Q3 2019, $8.2 million in Q2 2019, and $8.0 million in Q1 2019.

Peer Comparison

# Company Market Cap Enterprise Value Gross Profit (Qtr) Cost of Rev (Qtr)
1 Vici Properties 28.92 Bn 28.48 Bn 1.05 Bn 7.40 Mn
2 W. P. Carey 16.08 Bn 16.08 Bn 441.59 Mn 19.47 Mn
3 Broadstone Net Lease 4.01 Bn 4.00 Bn - -
4 Global Net Lease 1.91 Bn 1.76 Bn - -
5 American Assets Trust 1.38 Bn 1.38 Bn - -
6 Safehold 1.10 Bn -2.59 Bn 113.88 Mn 770,000.00
7 Cim 1.05 Bn 2.41 Bn - -
8 Empire State Realty Trust 826.12 Mn 826.12 Mn - -
9 CTO Realty Growth 764.50 Mn 764.50 Mn 32.71 Mn 11.13 Mn
10 JBG SMITH Properties 729.72 Mn 729.72 Mn - -

Historic Data

Download Data
DateValue
Sep 30, 2019 8.22 Mn
Sep 30, 2019 8.22 Mn
Jun 30, 2019 8.16 Mn
Jun 30, 2019 8.16 Mn
Mar 31, 2019 8.04 Mn
Mar 31, 2019 8.04 Mn
Dec 31, 2018 7.31 Mn
Dec 31, 2018 7.31 Mn
Sep 30, 2018 6.96 Mn
Sep 30, 2018 6.96 Mn
Jun 30, 2018 7.14 Mn
Jun 30, 2018 7.14 Mn
Mar 31, 2018 6.83 Mn
Mar 31, 2018 6.83 Mn
Dec 31, 2017 6.62 Mn
Dec 31, 2017 6.62 Mn
Sep 30, 2017 6.39 Mn
Sep 30, 2017 6.39 Mn
Jun 30, 2017 5.71 Mn
Jun 30, 2017 5.71 Mn