Rithm Property Trust (RPT) Return on Sales [ROS] (2014 - 2025)
Rithm Property Trust's Return on Sales [ROS] came in at 2353.01% for Q1 2025, up 2472.43 percentage points from -119.42% a year earlier and up 2441.92 percentage points from the prior quarter.
Rithm Property Trust (RPT) Return on Sales [ROS] (2014 - 2025) Analysis & Trends
Over the trailing twelve months to Mar 31, 2025, Rithm Property Trust reported Return on Sales [ROS] of 243.79%, up 322.01 percentage points year-over-year; for FY2024, it was -88.91%, down 162.54 percentage points from FY2023.
- Return on Sales [ROS] has declined in each of the last five years, with a five-year change of -237.61 percentage points (FY2019 to FY2024).
- Going back by year, Return on Sales [ROS] was 73.63% in FY2023 (-14.85 pp), 88.48% in FY2022 (-12.63 pp), 101.11% in FY2021 (-28.21 pp) and 129.32% in FY2020 (-19.39 pp).
- The Q1 2025 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q3 2014.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of +17.70 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2025 (a gain of 2472.43 percentage points), and the weakest in Q1 2024 (a drop of 1536.83 percentage points).
- Business Quant data shows RPT's Return on Sales [ROS] at -88.91% (Q4 2024), 24.43% (Q3 2024) and -23.06% (Q2 2024) in the three quarters before Q1 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 | Rithm Property Trust | 86.74 Mn | -1.02 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 2,353.01% |
| Dec 31, 2024 | -88.91% |
| Sep 30, 2024 | 24.43% |
| Jun 30, 2024 | -23.06% |
| Mar 31, 2024 | -119.42% |
| Dec 31, 2023 | -49.60% |
| Sep 30, 2023 | 875.69% |
| Jun 30, 2023 | 155.68% |
| Mar 31, 2023 | 1,417.41% |
| Dec 31, 2022 | 613.16% |
| Sep 30, 2022 | 40.26% |
| Jun 30, 2022 | 53.07% |
| Mar 31, 2022 | 94.92% |
| Dec 31, 2021 | 94.39% |
| Sep 30, 2021 | 102.17% |
| Jun 30, 2021 | 101.63% |
| Mar 31, 2021 | 106.15% |
| Dec 31, 2020 | 112.55% |
| Sep 30, 2020 | 123.06% |
| Jun 30, 2020 | 134.72% |
Rithm Property 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=RPT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RPT", "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=RPT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();