Global Net Lease (GNL) Return on Sales [ROS] (2013 - 2026)
Global Net Lease's Return on Sales [ROS] was -22.30% in Q3 2026, down 10.58 percentage points from -11.72% a year earlier and down 70.96 percentage points from the prior quarter.
Global Net Lease (GNL) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Global Net Lease's Return on Sales [ROS] was 37.92% through Sep 30, 2026, up 26.97 percentage points year-over-year; for FY2025, it came in at 22.41%, down 10.61 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -7.70 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 33.02% in FY2024 (+36.45 pp), -3.43% in FY2023 (-29.97 pp), 26.54% in FY2022 (-2.07 pp) and 28.61% in FY2021 (-1.50 pp).
- The Q3 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q3 2023.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of +3.24 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2024 (a gain of 90.13 percentage points); the worst was Q3 2023 (a drop of 112.19 percentage points).
- Per Business Quant data, GNL's Return on Sales [ROS] in the three quarters before Q3 2026 was 48.66% (Q2 2026), 28.31% (Q1 2026) and 94.69% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.03 Bn | 165.05 Bn | 1.47 Bn | 9.10% |
| 2 | Prologis | 123.12 Bn | 117.08 Bn | - | 43.76% |
| 3 | Simon Property | 75.49 Bn | 71.55 Bn | - | 46.02% |
| 4 | Public Storage | 62.37 Bn | 61.09 Bn | - | 23.20% |
| 5 | Realty Income | 56.23 Bn | 54.51 Bn | - | 48.67% |
| 6 | Ventas | 46.05 Bn | 44.73 Bn | - | 11.68% |
| 7 | Extra Space Storage | 33.71 Bn | 32.62 Bn | 650.96 Mn | 44.04% |
| 8 | Vici Properties | 27.71 Bn | 26.06 Bn | 1.06 Bn | 52.20% |
| 9 | Vivmark Residential | 24.79 Bn | 24.57 Bn | - | - |
| 10 | Global Net Lease | 1.52 Bn | 905.91 Mn | - | -22.30% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -22.30% |
| Jun 30, 2026 | 48.66% |
| Mar 31, 2026 | 28.31% |
| Dec 31, 2025 | 94.69% |
| Sep 30, 2025 | -11.72% |
| Jun 30, 2025 | 33.86% |
| Mar 31, 2025 | -21.05% |
| Dec 31, 2024 | 40.85% |
| Sep 30, 2024 | 9.26% |
| Jun 30, 2024 | 42.57% |
| Mar 31, 2024 | 38.59% |
| Dec 31, 2023 | 33.04% |
| Sep 30, 2023 | -80.87% |
| Jun 30, 2023 | 4.68% |
| Mar 31, 2023 | 32.20% |
| Dec 31, 2022 | 25.42% |
| Sep 30, 2022 | 31.33% |
| Jun 30, 2022 | 15.55% |
| Mar 31, 2022 | 33.82% |
| Dec 31, 2021 | 24.78% |
Global Net Lease Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GNL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GNL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();