Clipper Realty (CLPR) Return on Sales [ROS] (2016 - 2026)
Clipper Realty (CLPR) recorded Return on Sales [ROS] of 24.41% in Q3 2026, up 0.84 percentage points from 23.57% a year earlier and up 0.07 percentage points from the prior quarter.
Clipper Realty (CLPR) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
On a TTM basis, Clipper Realty's Return on Sales [ROS] came in at 20.58% as of Sep 30, 2026, up 16.15 percentage points year-over-year; for FY2025, it was 2.73%, down 24.52 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -23.44 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 27.24% in FY2024 (+3.24 pp), 24.00% in FY2023 (+2.70 pp), 21.30% in FY2022 (+1.61 pp) and 19.69% in FY2021 (-6.48 pp).
- The Q3 2026 figure is the highest quarterly Return on Sales [ROS] since Q2 2025.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -3.07 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 71.40 percentage points in Q1 2026, against a drop of 85.22 percentage points in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 24.34% (Q2 2026), 11.55% (Q1 2026) and 21.75% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 14.28% |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 43.76% |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 44.33% |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 23.20% |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 48.67% |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 39.50% |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 14.38% |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | -52.20% |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 44.04% |
| 10 | Clipper Realty | 54.61 Mn | -141.82 Mn | 9.93 Mn | 24.41% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 24.41% |
| Jun 30, 2026 | 24.34% |
| Mar 31, 2026 | 11.55% |
| Dec 31, 2025 | 21.75% |
| Sep 30, 2025 | 23.57% |
| Jun 30, 2025 | 27.69% |
| Mar 31, 2025 | -59.85% |
| Dec 31, 2024 | 28.14% |
| Sep 30, 2024 | 28.58% |
| Jun 30, 2024 | 26.77% |
| Mar 31, 2024 | 25.37% |
| Dec 31, 2023 | 25.86% |
| Sep 30, 2023 | 26.20% |
| Jun 30, 2023 | 23.27% |
| Mar 31, 2023 | 20.54% |
| Dec 31, 2022 | 20.53% |
| Sep 30, 2022 | 22.25% |
| Jun 30, 2022 | 22.12% |
| Mar 31, 2022 | 20.31% |
| Dec 31, 2021 | 13.29% |
Clipper Realty 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=CLPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CLPR", "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=CLPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();