CTO Realty Growth (CTO) Return on Sales [ROS] (2010 - 2026)
CTO Realty Growth's Return on Sales [ROS] came in at 30.23% for Q2 2026, up 63.92 percentage points from -33.68% a year earlier and up 5.23 percentage points from the prior quarter.
CTO Realty Growth (CTO) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, CTO Realty Growth reported Return on Sales [ROS] of 38.71%, up 43.78 percentage points year-over-year; for FY2025, it came in at 22.75%, up 8.60 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +0.97 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 14.14% in FY2024 (-10.15 pp), 24.29% in FY2023 (+11.33 pp), 12.96% in FY2022 (-20.26 pp) and 33.22% in FY2021 (+11.44 pp).
- The five-year range for quarterly Return on Sales [ROS] is -38.15% (Q4 2022) to 161.43% (Q3 2021).
- Year-over-year, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +3.17 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2021 (a gain of 151.24 percentage points), and the weakest in Q3 2022 (a drop of 114.90 percentage points).
- Business Quant data shows CTO's Return on Sales [ROS] at 25.00% (Q1 2026), 75.10% (Q4 2025) and 26.55% (Q3 2025) in the three quarters before Q2 2026.
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 | CTO Realty Growth | 770.63 Mn | 770.63 Mn | 32.71 Mn | 30.23% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.23% |
| Mar 31, 2026 | 25.00% |
| Dec 31, 2025 | 75.10% |
| Sep 30, 2025 | 26.55% |
| Jun 30, 2025 | -33.68% |
| Mar 31, 2025 | 21.98% |
| Dec 31, 2024 | -20.43% |
| Sep 30, 2024 | 15.60% |
| Jun 30, 2024 | 18.83% |
| Mar 31, 2024 | 51.63% |
| Dec 31, 2023 | 34.07% |
| Sep 30, 2023 | 26.99% |
| Jun 30, 2023 | 21.82% |
| Mar 31, 2023 | 11.96% |
| Dec 31, 2022 | -38.15% |
| Sep 30, 2022 | 46.53% |
| Jun 30, 2022 | 25.79% |
| Mar 31, 2022 | 20.26% |
| Dec 31, 2021 | 5.24% |
| Sep 30, 2021 | 161.43% |
CTO Realty Growth 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=CTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CTO", "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=CTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();