Global Net Lease (GNL) Cash & Equivalents (2012 - 2026)
Global Net Lease (GNL) recorded Cash & Equivalents of $150.73 million in Q3 2026, down 8.7% from $165.1 million a year earlier and down 1.9% 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 10.8%.
- 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 $153.64 million (Q2 2026), $125.48 million (Q1 2026) and $180.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.03 Bn | 165.05 Bn | 1.47 Bn | 2.27 Bn |
| 2 | Prologis | 123.12 Bn | 117.08 Bn | - | 2.27 Bn |
| 3 | Simon Property | 75.49 Bn | 71.55 Bn | - | 1.02 Bn |
| 4 | Public Storage | 62.37 Bn | 61.09 Bn | - | 560.38 Mn |
| 5 | Realty Income | 56.23 Bn | 54.51 Bn | - | 368.53 Mn |
| 6 | Ventas | 46.05 Bn | 44.73 Bn | - | 202.01 Mn |
| 7 | Extra Space Storage | 33.71 Bn | 32.62 Bn | 650.96 Mn | 114.82 Mn |
| 8 | Vici Properties | 27.71 Bn | 26.06 Bn | 1.06 Bn | 270.32 Mn |
| 9 | Vivmark Residential | 24.79 Bn | 24.57 Bn | - | 36.41 Mn |
| 10 | Global Net Lease | 1.52 Bn | 905.91 Mn | - | 150.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 150.73 Mn |
| 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 |
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();