Global Net Lease, Inc. (GNL) EV to EBITDA (2015 - 2026)
Global Net Lease's EV to EBITDA came in at 4.89 for Q2 2026, up 22.9% from 3.98 a year earlier but down 9.0% from the prior quarter.
Powered by 
Analysis
Global Net Lease, Inc. (GNL) EV to EBITDA (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Global Net Lease reported EV to EBITDA of 3.56, up 25.1% year-over-year; for FY2025, it was 5.05, up 78.1% from FY2024.
- Going back by year, EV to EBITDA was 2.84 in FY2024 (-73.8%), 10.85 in FY2023 (+126.2%), 4.79 in FY2022 (-12.3%) and 5.47 in FY2021 (-9.1%).
- The five-year range for quarterly EV to EBITDA is 2.84 (Q4 2024) to 17.39 (Q3 2023).
- Year-over-year, EV to EBITDA has increased for five consecutive quarters, with growth averaging 1.0% over the last eight quarters.
- The fastest year-over-year change in EV to EBITDA over five years came in Q3 2023 (growth of 358.6%), and the weakest in Q3 2024 (a decline of 80.7%).
- Business Quant data shows GNL's EV to EBITDA at 5.37 (Q1 2026), 5.05 (Q4 2025) and 5.15 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.89 |
| Mar 31, 2026 | 5.37 |
| Dec 31, 2025 | 5.05 |
| Sep 30, 2025 | 5.15 |
| Jun 30, 2025 | 3.98 |
| Mar 31, 2025 | 3.78 |
| Dec 31, 2024 | 2.84 |
| Sep 30, 2024 | 3.35 |
| Jun 30, 2024 | 3.96 |
| Mar 31, 2024 | 5.76 |
| Dec 31, 2023 | 10.85 |
| Sep 30, 2023 | 17.39 |
| Jun 30, 2023 | 4.19 |
| Mar 31, 2023 | 4.97 |
| Dec 31, 2022 | 4.79 |
| Sep 30, 2022 | 3.79 |
| Jun 30, 2022 | 5.13 |
| Mar 31, 2022 | 5.38 |
| Dec 31, 2021 | 5.46 |
| Sep 30, 2021 | 5.57 |
API Access
Global Net Lease, Inc. EV to EBITDA 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=ev-to-ebitda&ticker=GNL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=GNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();