Empire State Realty OP (ESBA) Lease Liabilities (2019 - 2026)
Empire State Realty OP's Operating Leases was $1.05 million in Q3 2026, down 96.2% from $28.01 million a year earlier and down 1.0% from the prior quarter.
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Analysis
Empire State Realty OP (ESBA) Lease Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Empire State Realty OP came in at $27.94 million, down 0.9% from FY2024.
- Operating Leases has now declined for six consecutive years, with a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In earlier years, Operating Leases was $28.2 million in FY2024 (-0.9%), $28.44 million in FY2023 (-0.8%), $28.67 million in FY2022 (-0.8%) and $28.89 million in FY2021 (-0.7%).
- The Q3 2026 figure marks the lowest quarterly Operating Leases in data going back to Q1 2019.
- Compared with a year earlier, Operating Leases has declined for 27 straight quarters, with an average decline of 24.7% over the last eight quarters.
- Over the past five years, the year-over-year decline in Operating Leases ranged from 0.7% (Q1 2022) to 96.2% (Q3 2026).
- Per Business Quant data, ESBA's Operating Leases in the three quarters before Q3 2026 was $1.06 million (Q2 2026), $27.88 million (Q1 2026) and $27.94 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.05 Mn |
| Jun 30, 2026 | 1.06 Mn |
| Mar 31, 2026 | 27.88 Mn |
| Dec 31, 2025 | 27.94 Mn |
| Sep 30, 2025 | 28.01 Mn |
| Jun 30, 2025 | 28.07 Mn |
| Mar 31, 2025 | 28.13 Mn |
| Dec 31, 2024 | 28.20 Mn |
| Sep 30, 2024 | 28.26 Mn |
| Jun 30, 2024 | 28.32 Mn |
| Mar 31, 2024 | 28.38 Mn |
| Dec 31, 2023 | 28.44 Mn |
| Sep 30, 2023 | 28.50 Mn |
| Jun 30, 2023 | 28.55 Mn |
| Mar 31, 2023 | 28.61 Mn |
| Dec 31, 2022 | 28.67 Mn |
| Sep 30, 2022 | 28.73 Mn |
| Jun 30, 2022 | 28.78 Mn |
| Mar 31, 2022 | 28.84 Mn |
| Dec 31, 2021 | 28.89 Mn |
API Access
Empire State Realty OP Lease Liabilities 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=lease-liabilities&ticker=ESBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "lease-liabilities", "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=lease-liabilities&ticker=ESBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();