Net Lease Office Properties (NLOP) Return on Sales [ROS] (2022 - 2026)
Net Lease Office Properties (NLOP) posted Return on Sales [ROS] of -90.23% for Q2 2026, up 173.76 percentage points from -264.00% a year earlier but down 372.16 percentage points from the prior quarter.
Net Lease Office Properties (NLOP) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Net Lease Office Properties was -55.17%, up 55.47 percentage points year-over-year; for FY2025, it came in at -111.23%, down 93.08 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a four-year change of -132.66 percentage points (FY2021 to FY2025).
- In prior years, Net Lease Office Properties' Return on Sales [ROS] was -18.14% in FY2024 (+32.55 pp), -50.69% in FY2023 (-78.28 pp), 27.59% in FY2022 (+6.16 pp) and 21.44% in FY2021.
- Quarterly Return on Sales [ROS] has run from a low of -266.91% in Q4 2023 to a high of 281.93% in Q1 2026 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +17.24 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2026, with a gain of 260.22 percentage points; the weakest was Q2 2025, with a drop of 367.56 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 281.93% (Q1 2026), 2.81% (Q4 2025) and -209.69% (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 | Net Lease Office Properties | 144.73 Mn | 148.63 Mn | - | -90.23% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -90.23% |
| Mar 31, 2026 | 281.93% |
| Dec 31, 2025 | 2.81% |
| Sep 30, 2025 | -209.69% |
| Jun 30, 2025 | -264.00% |
| Mar 31, 2025 | 21.71% |
| Dec 31, 2024 | -113.18% |
| Sep 30, 2024 | -89.09% |
| Jun 30, 2024 | 103.56% |
| Mar 31, 2024 | -15.45% |
| Dec 31, 2023 | -266.91% |
| Sep 30, 2023 | 25.69% |
| Jun 30, 2023 | 28.16% |
| Mar 31, 2023 | 28.17% |
| Dec 31, 2022 | 25.06% |
| Sep 30, 2022 | 21.62% |
Net Lease Office 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=NLOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NLOP", "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=NLOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();