W. P. Carey (WPC) Return on Sales [ROS] (2009 - 2026)
W. P. Carey's Return on Sales [ROS] came in at 60.24% for Q2 2026, up 28.62 percentage points from 31.62% a year earlier and up 0.92 percentage points from the prior quarter.
W. P. Carey (WPC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, W. P. Carey reported Return on Sales [ROS] of 55.87%, up 15.65 percentage points year-over-year; for FY2025, it came in at 46.38%, down 2.24 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +4.30 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 48.62% in FY2024 (+7.10 pp), 41.52% in FY2023 (+0.30 pp), 41.21% in FY2022 (-3.91 pp) and 45.12% in FY2021 (+3.05 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q1 2024.
- Year-over-year, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +4.17 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2026 (a gain of 28.62 percentage points), and the weakest in Q2 2025 (a drop of 23.40 percentage points).
- Business Quant data shows WPC's Return on Sales [ROS] at 59.31% (Q1 2026), 51.44% (Q4 2025) and 52.15% (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 | W. P. Carey | 14.69 Bn | 14.71 Bn | - | 60.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.24% |
| Mar 31, 2026 | 59.31% |
| Dec 31, 2025 | 51.44% |
| Sep 30, 2025 | 52.15% |
| Jun 30, 2025 | 31.62% |
| Mar 31, 2025 | 50.32% |
| Dec 31, 2024 | 30.95% |
| Sep 30, 2024 | 48.62% |
| Jun 30, 2024 | 55.02% |
| Mar 31, 2024 | 60.65% |
| Dec 31, 2023 | 31.38% |
| Sep 30, 2023 | 42.77% |
| Jun 30, 2023 | 48.78% |
| Mar 31, 2023 | 42.30% |
| Dec 31, 2022 | 41.66% |
| Sep 30, 2022 | 35.57% |
| Jun 30, 2022 | 45.44% |
| Mar 31, 2022 | 42.73% |
| Dec 31, 2021 | 46.24% |
| Sep 30, 2021 | 41.96% |
W. P. Carey 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=WPC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WPC", "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=WPC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();