Zoned Properties (ZDPY) Return on Sales [ROS] (2010 - 2026)
Zoned Properties (ZDPY) recorded Return on Sales [ROS] of -5.97% in Q2 2026, down 35.00 percentage points from 29.02% a year earlier and down 16.77 percentage points from the prior quarter.
Zoned Properties (ZDPY) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Zoned Properties' Return on Sales [ROS] came in at -60.03% as of Jun 30, 2026, down 97.68 percentage points year-over-year; for FY2025, it was -45.54%, down 74.62 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -48.64 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 29.08% in FY2024 (+23.22 pp), 5.86% in FY2023 (+9.96 pp), -4.10% in FY2022 (-6.55 pp) and 2.46% in FY2021 (-0.65 pp).
- Quarterly Return on Sales [ROS] has ranged from -243.11% in Q4 2025 to 44.00% in Q1 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for four consecutive quarters, with an average year-over-year change of -31.29 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 36.42 percentage points in Q3 2024, against a drop of 277.62 percentage points in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 10.80% (Q1 2026), -243.11% (Q4 2025) and 36.26% (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 | Zoned Properties | 5.54 Mn | -1.36 Mn | 28,391.00 | -5.97% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.97% |
| Mar 31, 2026 | 10.80% |
| Dec 31, 2025 | -243.11% |
| Sep 30, 2025 | 36.26% |
| Jun 30, 2025 | 29.02% |
| Mar 31, 2025 | 44.00% |
| Dec 31, 2024 | 34.51% |
| Sep 30, 2024 | 43.24% |
| Jun 30, 2024 | 14.90% |
| Mar 31, 2024 | 15.40% |
| Dec 31, 2023 | 11.14% |
| Sep 30, 2023 | 6.82% |
| Jun 30, 2023 | 8.39% |
| Mar 31, 2023 | -3.40% |
| Dec 31, 2022 | -10.53% |
| Sep 30, 2022 | -7.36% |
| Jun 30, 2022 | -1.85% |
| Mar 31, 2022 | 1.01% |
| Dec 31, 2021 | 0.35% |
| Sep 30, 2021 | -13.80% |
Zoned Properties 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=ZDPY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ZDPY", "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=ZDPY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();