Global Self Storage (SELF) Return on Sales [ROS] (2016 - 2026)
Global Self Storage (SELF) recorded Return on Sales [ROS] of 21.58% in Q2 2026, down 4.37 percentage points from 25.95% a year earlier but up 3.57 percentage points from the prior quarter.
Global Self Storage (SELF) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a TTM basis, Global Self Storage's Return on Sales [ROS] came in at 20.94% as of Jun 30, 2026, down 4.40 percentage points year-over-year; for FY2025, it was 23.31%, up 0.21 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +10.04 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 23.10% in FY2024 (-2.42 pp), 25.52% in FY2023 (-4.01 pp), 29.53% in FY2022 (+3.98 pp) and 25.55% in FY2021 (+12.28 pp).
- Quarterly Return on Sales [ROS] has ranged from 18.02% in Q1 2026 to 35.82% in Q3 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -0.73 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 13.17 percentage points in Q3 2021, against a drop of 9.01 percentage points in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 18.02% (Q1 2026), 21.54% (Q4 2025) and 22.58% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 178.56 Bn | 164.58 Bn | 1.47 Bn | 9.10% |
| 2 | Prologis | 120.75 Bn | 114.70 Bn | - | 43.76% |
| 3 | Simon Property | 73.93 Bn | 69.99 Bn | - | 46.02% |
| 4 | Public Storage | 62.21 Bn | 60.94 Bn | - | 23.20% |
| 5 | Realty Income | 55.99 Bn | 54.27 Bn | - | 48.67% |
| 6 | Ventas | 45.77 Bn | 44.44 Bn | - | 11.68% |
| 7 | Extra Space Storage | 33.59 Bn | 32.50 Bn | 650.96 Mn | 44.04% |
| 8 | Vici Properties | 27.39 Bn | 25.74 Bn | 1.06 Bn | 52.20% |
| 9 | Vivmark Residential | 24.32 Bn | 24.10 Bn | - | - |
| 10 | Global Self Storage | 55.27 Mn | 15.96 Mn | - | 21.58% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.58% |
| Mar 31, 2026 | 18.02% |
| Dec 31, 2025 | 21.54% |
| Sep 30, 2025 | 22.58% |
| Jun 30, 2025 | 25.95% |
| Mar 31, 2025 | 23.15% |
| Dec 31, 2024 | 24.92% |
| Sep 30, 2024 | 27.28% |
| Jun 30, 2024 | 20.45% |
| Mar 31, 2024 | 19.48% |
| Dec 31, 2023 | 22.85% |
| Sep 30, 2023 | 26.81% |
| Jun 30, 2023 | 25.21% |
| Mar 31, 2023 | 27.15% |
| Dec 31, 2022 | 27.72% |
| Sep 30, 2022 | 35.82% |
| Jun 30, 2022 | 30.17% |
| Mar 31, 2022 | 23.92% |
| Dec 31, 2021 | 29.05% |
| Sep 30, 2021 | 28.71% |
Global Self Storage 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=SELF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SELF", "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=SELF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();