Empire State Realty OP (ESBA) Return on Sales [ROS] (2012 - 2026)
Empire State Realty OP's Return on Sales [ROS] came in at -70.45% for Q2 2026, down 88.81 percentage points from 18.36% a year earlier and down 85.93 percentage points from the prior quarter.
Empire State Realty OP (ESBA) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Empire State Realty OP reported Return on Sales [ROS] of -4.40%, down 23.82 percentage points year-over-year; for FY2025, it was 17.66%, down 3.01 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +8.03 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 20.67% in FY2024 (+0.83 pp), 19.84% in FY2023 (+2.36 pp), 17.47% in FY2022 (+4.79 pp) and 12.68% in FY2021 (+3.05 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] in data going back to Q3 2012.
- Year-over-year, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -12.30 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2022 (a gain of 11.34 percentage points), and the weakest in Q2 2026 (a drop of 88.81 percentage points).
- Business Quant data shows ESBA's Return on Sales [ROS] at 15.48% (Q1 2026), 17.77% (Q4 2025) and 19.89% (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 | Empire State Realty OP | 1.04 Bn | 1.04 Bn | - | -70.45% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -70.45% |
| Mar 31, 2026 | 15.48% |
| Dec 31, 2025 | 17.77% |
| Sep 30, 2025 | 19.89% |
| Jun 30, 2025 | 18.36% |
| Mar 31, 2025 | 14.32% |
| Dec 31, 2024 | 21.73% |
| Sep 30, 2024 | 22.72% |
| Jun 30, 2024 | 20.77% |
| Mar 31, 2024 | 17.14% |
| Dec 31, 2023 | 21.14% |
| Sep 30, 2023 | 22.06% |
| Jun 30, 2023 | 24.24% |
| Mar 31, 2023 | 10.62% |
| Dec 31, 2022 | 21.49% |
| Sep 30, 2022 | 19.34% |
| Jun 30, 2022 | 23.48% |
| Mar 31, 2022 | 3.69% |
| Dec 31, 2021 | 13.16% |
| Sep 30, 2021 | 8.00% |
Empire State Realty OP 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=ESBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ESBA", "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=ESBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();