Global Net Lease (GNL) Change in Taxes (2014 - 2022)
Global Net Lease's Change in Taxes was -$190,000 in Q4 2022.
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Analysis
Global Net Lease (GNL) Change in Taxes (2014 - 2022) Analysis & Trends
For FY2020, Change in Taxes at Global Net Lease came in at -$1.05 million.
- In earlier years, Change in Taxes was -$1.18 million in FY2019, -$247,000 in FY2018, -$6.58 million in FY2017 and $2.2 million in FY2016 (-57.8%).
- The Q4 2022 figure marks the highest quarterly Change in Taxes since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | - |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | - |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | - |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | - |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | - |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Global Net Lease | 1.74 Bn | 1.12 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -190,000.00 |
| Mar 31, 2020 | -1.05 Mn |
| Dec 31, 2019 | 1.04 Mn |
| Sep 30, 2019 | -610,000.00 |
| Jun 30, 2019 | 565,000.00 |
| Mar 31, 2019 | -2.18 Mn |
| Dec 31, 2018 | 1.30 Mn |
| Sep 30, 2018 | -1.01 Mn |
| Jun 30, 2018 | 985,000.00 |
| Mar 31, 2018 | -1.53 Mn |
| Dec 31, 2017 | -4.32 Mn |
| Sep 30, 2017 | -569,000.00 |
| Jun 30, 2017 | -126,000.00 |
| Mar 31, 2017 | -1.57 Mn |
| Dec 31, 2016 | 4.15 Mn |
| Sep 30, 2016 | -297,000.00 |
| Jun 30, 2016 | -171,000.00 |
| Mar 31, 2016 | -1.49 Mn |
| Dec 31, 2015 | 2.04 Mn |
| Sep 30, 2015 | 505,000.00 |
API Access
Global Net Lease Change in Taxes 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=change-in-taxes&ticker=GNL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=GNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();