Global Net Lease (GNL) Acquisitions (2013 - 2023)
Global Net Lease's Acquisitions was $608,000 in Q4 2023.
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Analysis
Global Net Lease (GNL) Acquisitions (2013 - 2023) Analysis & Trends
For FY2023, Acquisitions at Global Net Lease came in at $451.38 million.
- Acquisitions shows a five-year compound annual growth rate of -1.2% (FY2018 to FY2023).
- In earlier years, Acquisitions was $562.73 million in FY2019 (+17.3%).
- The Q4 2023 figure marks the highest quarterly Acquisitions since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn | - |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - | 16.22 Mn |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - | 1.90 Bn |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - | 222.45 Mn |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - | 1.48 Bn |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn | 158.83 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - | - |
| 10 | Global Net Lease | 1.79 Bn | 1.16 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 608,000.00 |
| Dec 31, 2019 | 253.73 Mn |
| Sep 30, 2019 | 98.01 Mn |
| Jun 30, 2019 | 187.54 Mn |
| Mar 31, 2019 | 23.45 Mn |
| Dec 31, 2018 | 212.27 Mn |
| Sep 30, 2018 | 105.59 Mn |
| Jun 30, 2018 | 98.19 Mn |
| Mar 31, 2018 | 63.60 Mn |
| Dec 31, 2017 | 61.66 Mn |
| Sep 30, 2017 | 6.82 Mn |
| Mar 31, 2017 | 30.29 Mn |
| Dec 31, 2016 | 18.98 Mn |
| Dec 31, 2015 | 1,000.00 |
| Sep 30, 2015 | 175.89 Mn |
| Jun 30, 2015 | 8.53 Mn |
| Mar 31, 2015 | 38.66 Mn |
| Dec 31, 2014 | 426.55 Mn |
| Sep 30, 2014 | 640.43 Mn |
| Jun 30, 2014 | 259.33 Mn |
API Access
Global Net Lease Acquisitions API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=acquisitions&ticker=GNL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "GNL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=acquisitions&ticker=GNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();