Global Net Lease (GNL) Return on Sales [ROS] (2013 - 2026)
Global Net Lease's Return on Sales [ROS] was 48.66% in Q2 2026, up 14.80 percentage points from 33.86% a year earlier and up 20.35 percentage points from the prior quarter.
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Analysis
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 39.64% through Jun 30, 2026, up 23.99 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).
- Quarterly Return on Sales [ROS] has moved between -80.87% (Q3 2023) and 94.69% (Q4 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of +15.83 percentage points over the last eight quarters.
- 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 Q2 2026 was 28.31% (Q1 2026), 94.69% (Q4 2025) and -11.72% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | -51.62% |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 51.59% |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | 43.38% |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 45.77% |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 37.85% |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 12.39% |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 44.86% |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 69.48% |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Global Net Lease | 1.74 Bn | 1.12 Bn | - | 48.66% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Sep 30, 2021 | 32.14% |
API Access
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_KEYimport 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();