Global Net Lease (GNL) EPS (Diluted) (2016 - 2026)
Global Net Lease's EPS (Diluted) was -$0.30 in Q3 2026, compared with -$0.32 a year earlier.
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Analysis
Global Net Lease (GNL) EPS (Diluted) (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global Net Lease's EPS (Diluted) was -$0.24 through Sep 30, 2026; for FY2025, it was -$1.21.
- In earlier years, EPS (Diluted) was -$0.76 in FY2024, -$1.68 in FY2023, -$0.08 in FY2022 and -$0.09 in FY2021.
- Quarterly EPS (Diluted) has moved between -$1.09 (Q3 2023) and $0.17 (Q4 2025) over five years.
- Per Business Quant data, GNL's EPS (Diluted) in the three quarters before Q3 2026 was -$0.04 (Q2 2026), -$0.07 (Q1 2026) and $0.17 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.03 Bn | 165.05 Bn | 1.47 Bn | 0.53 |
| 2 | Prologis | 123.12 Bn | 117.08 Bn | - | 0.84 |
| 3 | Simon Property | 75.49 Bn | 71.55 Bn | - | 1.49 |
| 4 | Public Storage | 62.37 Bn | 61.09 Bn | - | 1.69 |
| 5 | Realty Income | 56.23 Bn | 54.51 Bn | - | 0.43 |
| 6 | Ventas | 46.05 Bn | 44.73 Bn | - | 0.13 |
| 7 | Extra Space Storage | 33.71 Bn | 32.62 Bn | 650.96 Mn | 1.12 |
| 8 | Vici Properties | 27.71 Bn | 26.06 Bn | 1.06 Bn | 0.31 |
| 9 | Vivmark Residential | 24.79 Bn | 24.57 Bn | - | 0.30 |
| 10 | Global Net Lease | 1.52 Bn | 905.91 Mn | - | -0.30 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.30 |
| Jun 30, 2026 | -0.04 |
| Mar 31, 2026 | -0.07 |
| Dec 31, 2025 | 0.17 |
| Sep 30, 2025 | -0.32 |
| Jun 30, 2025 | -0.16 |
| Mar 31, 2025 | -0.87 |
| Dec 31, 2024 | -0.08 |
| Sep 30, 2024 | -0.33 |
| Jun 30, 2024 | -0.20 |
| Mar 31, 2024 | -0.15 |
| Dec 31, 2023 | -0.42 |
| Sep 30, 2023 | -1.09 |
| Jun 30, 2023 | -0.30 |
| Mar 31, 2023 | -0.06 |
| Dec 31, 2022 | -0.17 |
| Sep 30, 2022 | 0.09 |
| Jun 30, 2022 | -0.06 |
| Mar 31, 2022 | 0.05 |
| Dec 31, 2021 | -0.08 |
API Access
Global Net Lease EPS (Diluted) 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=eps-diluted&ticker=GNL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=GNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();