Cedar Realty Trust (CDR-PB) Return on Sales [ROS] (2010 - 2026)
Cedar Realty Trust (CDR-PB) posted Return on Sales [ROS] of 34.42% for Q2 2026, up 6.19 percentage points from 28.24% a year earlier and up 6.70 percentage points from the prior quarter.
Cedar Realty Trust (CDR-PB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Cedar Realty Trust was 20.87%, down 26.16 percentage points year-over-year; for FY2025, it came in at 26.90%, down 12.60 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +32.74 percentage points (FY2020 to FY2025).
- In prior years, Cedar Realty Trust's Return on Sales [ROS] was 39.50% in FY2024 (+10.53 pp), 28.96% in FY2023 (+227.57 pp), -198.61% in FY2022 (-143.05 pp) and -55.56% in FY2021 (-49.71 pp).
- Quarterly Return on Sales [ROS] has run from a low of -709.52% in Q3 2021 to a high of 66.13% in Q4 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -7.49 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 528.96 percentage points; the weakest was Q2 2022, with a drop of 829.62 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 27.73% (Q1 2026), 52.61% (Q4 2025) and -35.76% (Q3 2025).
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 | Cedar Realty Trust | 226.21 Mn | 206.80 Mn | - | 34.42% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.42% |
| Mar 31, 2026 | 27.73% |
| Dec 31, 2025 | 52.61% |
| Sep 30, 2025 | -35.76% |
| Jun 30, 2025 | 28.24% |
| Mar 31, 2025 | 55.95% |
| Dec 31, 2024 | 66.13% |
| Sep 30, 2024 | 34.82% |
| Jun 30, 2024 | 27.06% |
| Mar 31, 2024 | 28.52% |
| Dec 31, 2023 | 25.97% |
| Sep 30, 2023 | 57.33% |
| Jun 30, 2023 | 10.67% |
| Mar 31, 2023 | 21.50% |
| Dec 31, 2022 | 43.68% |
| Sep 30, 2022 | -471.63% |
| Jun 30, 2022 | -370.25% |
| Mar 31, 2022 | -47.14% |
| Dec 31, 2021 | -114.50% |
| Sep 30, 2021 | -709.52% |
Cedar Realty Trust 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=CDR-PB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CDR-PB", "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=CDR-PB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();