Global Net Lease (GNL) Cash & Equivalents (2012 - 2026)
Global Net Lease (GNL) recorded Cash & Equivalents of $153.64 million in Q2 2026, up 6.1% from $144.81 million a year earlier and up 22.4% from the prior quarter.
Global Net Lease (GNL) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2025, Global Net Lease reported Cash & Equivalents of $180.11 million, up 12.8% from FY2024.
- Annual Cash & Equivalents has increased for four straight years, with a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $159.7 million in FY2024 (+31.4%), $121.57 million in FY2023 (+17.6%), $103.34 million in FY2022 (+15.2%) and $89.67 million in FY2021 (-27.8%).
- Quarterly Cash & Equivalents has ranged from $89.67 million in Q4 2021 to $180.11 million in Q4 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in six of the last eight quarters, with growth averaging 11.3%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 31.4% in Q4 2024, against a decline of 53.0% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $125.48 million (Q1 2026), $180.11 million (Q4 2025) and $165.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 1.97 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 1.77 Bn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 542.96 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 552.65 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 259.94 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 198.96 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 288.06 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | 36.41 Mn |
| 10 | Global Net Lease | 1.74 Bn | 1.12 Bn | - | 153.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.64 Mn |
| Mar 31, 2026 | 125.48 Mn |
| Dec 31, 2025 | 180.11 Mn |
| Sep 30, 2025 | 165.10 Mn |
| Jun 30, 2025 | 144.81 Mn |
| Mar 31, 2025 | 147.05 Mn |
| Dec 31, 2024 | 159.70 Mn |
| Sep 30, 2024 | 127.25 Mn |
| Jun 30, 2024 | 122.18 Mn |
| Mar 31, 2024 | 131.88 Mn |
| Dec 31, 2023 | 121.57 Mn |
| Sep 30, 2023 | 133.44 Mn |
| Jun 30, 2023 | 100.92 Mn |
| Mar 31, 2023 | 119.16 Mn |
| Dec 31, 2022 | 103.34 Mn |
| Sep 30, 2022 | 128.01 Mn |
| Jun 30, 2022 | 111.21 Mn |
| Mar 31, 2022 | 123.50 Mn |
| Dec 31, 2021 | 89.67 Mn |
| Sep 30, 2021 | 176.39 Mn |
Global Net Lease Cash & Equivalents 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=cash-and-equivalents&ticker=GNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();