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

Global Net Lease's (GNL) quarterly Cost of Revenue came in at $8.2 million in Q3 2019, up 18.17% year-on-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.

  • On a quarterly basis, Cost of Revenue rose 18.17% year-over-year to $8.2 million in Q3 2019; TTM through Sep 2019 was $31.7 million, a 15.19% increase from a year earlier, with the FY2018 full-year figure at $28.2 million, up 15.44% from the prior year.
  • Cost of Revenue advanced to $8.2 million in Q3 2019 per GNL's latest filing, from $8.2 million in the prior quarter.
  • Across five years, Cost of Revenue topped out at $8.2 million in Q3 2019 and bottomed 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.
  • Biggest YoY gain for Cost of Revenue was 24.94% in 2018; the steepest drop was 8.86% in 2018.
  • Year by year, Cost of Revenue stood at $6.6 million in 2017, then gained by 10.34% to $7.3 million in 2018, then advanced by 12.46% to $8.2 million in 2019.
  • Per Business Quant, the three latest GNL Cost of Revenue figures stand at $8.2 million (Q3 2019), $8.2 million (Q2 2019), and $8.0 million (Q1 2019).

Peer Comparison

# Company Market Cap Enterprise Value Gross Profit (Qtr) Cost of Rev (Qtr)
1 Vici Properties 28.61 Bn 28.13 Bn 1.01 Bn 6.47 Mn
2 W. P. Carey 16.83 Bn 16.83 Bn 434.82 Mn 19.69 Mn
3 Broadstone Net Lease 4.28 Bn 4.26 Bn - -
4 Global Net Lease 1.90 Bn 1.77 Bn - -
5 American Assets Trust 1.48 Bn 1.48 Bn - -
6 Safehold 1.20 Bn -2.43 Bn 109.54 Mn 1.31 Mn
7 Empire State Realty Trust 960.04 Mn 960.04 Mn - -
8 Cim 917.30 Mn 735.54 Mn - -
9 JBG SMITH Properties 842.68 Mn 842.68 Mn - -
10 CTO Realty Growth 720.62 Mn 720.62 Mn 31.01 Mn 10.17 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