Empire State Realty OP (ESBA) Straight-Line Rent Receivable (2012 - 2026)
Empire State Realty OP (ESBA) reported Straight-Line Rent Receivable of $249.23 million for Q3 2026, down 3.8% from $259.07 million a year earlier and down 3.1% from the prior quarter.
Empire State Realty OP (ESBA) Straight-Line Rent Receivable (2012 - 2026) Analysis & Trends
At the end of FY2025, Empire State Realty OP posted Straight-Line Rent Receivable of $255.27 million, up 3.0% from FY2024.
- Straight-Line Rent Receivable has a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- By year, Straight-Line Rent Receivable came in at $247.75 million in FY2024 (-3.1%), $255.63 million in FY2023 (+6.4%), $240.19 million in FY2022 (+6.8%) and $224.92 million in FY2021 (+1.1%).
- The Q3 2026 figure ranks as the lowest quarterly Straight-Line Rent Receivable since Q4 2024.
- Year over year, Straight-Line Rent Receivable gained in five of the last eight quarters, with growth averaging 1.2%.
- The high point for year-over-year Straight-Line Rent Receivable in five years was Q1 2024 (growth of 7.7%); the low point was Q3 2024 (a decline of 3.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $257.07 million (Q2 2026), $261.28 million (Q1 2026) and $255.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Straight-Line Rent Receivable (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | - |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | - |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | - |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | - |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | - |
| 10 | Empire State Realty OP | 1.41 Bn | 1.75 Bn | 110.85 Mn | 249.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 249.23 Mn |
| Jun 30, 2026 | 257.07 Mn |
| Mar 31, 2026 | 261.28 Mn |
| Dec 31, 2025 | 255.27 Mn |
| Sep 30, 2025 | 259.07 Mn |
| Jun 30, 2025 | 255.27 Mn |
| Mar 31, 2025 | 252.30 Mn |
| Dec 31, 2024 | 247.75 Mn |
| Sep 30, 2024 | 244.45 Mn |
| Jun 30, 2024 | 242.94 Mn |
| Mar 31, 2024 | 257.27 Mn |
| Dec 31, 2023 | 255.63 Mn |
| Sep 30, 2023 | 254.23 Mn |
| Jun 30, 2023 | 249.88 Mn |
| Mar 31, 2023 | 238.84 Mn |
| Dec 31, 2022 | 240.19 Mn |
| Sep 30, 2022 | 239.75 Mn |
| Jun 30, 2022 | 233.19 Mn |
| Mar 31, 2022 | 226.57 Mn |
| Dec 31, 2021 | 224.92 Mn |
Empire State Realty OP Straight-Line Rent Receivable 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=straight-line-rent-receivable&ticker=ESBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "straight-line-rent-receivable", "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=straight-line-rent-receivable&ticker=ESBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();