Empire State Realty OP (ESBA) EBITDA (2012 - 2026)
Empire State Realty OP (ESBA) posted EBITDA of -$88.32 million for Q2 2026, compared with $82.92 million a year earlier.
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Analysis
Empire State Realty OP (ESBA) EBITDA (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Empire State Realty OP was $164.27 million, down 51.3% year-over-year; for FY2025, it came in at $330.41 million, down 3.8% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- In prior years, Empire State Realty OP's EBITDA was $343.53 million in FY2024 (+2.1%), $336.62 million in FY2023 (-2.1%), $343.92 million in FY2022 (+22.4%) and $280.94 million in FY2021 (+12.5%).
- The Q2 2026 figure stands as the lowest quarterly EBITDA in data going back to Q3 2012.
- On a year-over-year basis, EBITDA increased in two of the last seven quarters, with an average decline of 1.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 46.4%; the weakest was Q2 2023, with a decline of 11.8%.
- According to Business Quant data, EBITDA for the three prior quarters was $79.68 million (Q1 2026), $85.97 million (Q4 2025) and $86.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | -1.08 Bn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 1.94 Bn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 1.35 Bn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 1.35 Bn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 754.44 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 629.80 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 577.79 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 736.50 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 449.31 Mn |
| 10 | Empire State Realty OP | 1.08 Bn | 1.08 Bn | - | -88.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -88.32 Mn |
| Mar 31, 2026 | 79.68 Mn |
| Dec 31, 2025 | 85.97 Mn |
| Sep 30, 2025 | 86.95 Mn |
| Jun 30, 2025 | 82.92 Mn |
| Mar 31, 2025 | 74.57 Mn |
| Dec 31, 2024 | 88.31 Mn |
| Sep 30, 2024 | 91.25 Mn |
| Jun 30, 2024 | 86.83 Mn |
| Mar 31, 2024 | 77.14 Mn |
| Dec 31, 2023 | 90.37 Mn |
| Sep 30, 2023 | 88.88 Mn |
| Jun 30, 2023 | 92.47 Mn |
| Mar 31, 2023 | 64.90 Mn |
| Dec 31, 2022 | 83.45 Mn |
| Sep 30, 2022 | 82.51 Mn |
| Jun 30, 2022 | 104.80 Mn |
| Mar 31, 2022 | 73.15 Mn |
| Dec 31, 2021 | 67.56 Mn |
| Sep 30, 2021 | 79.00 Mn |
API Access
Empire State Realty OP EBITDA 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=ebitda&ticker=ESBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ESBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();