Empire State Realty OP (ESBA) Shares Outstanding (2013 - 2026)
Empire State Realty OP (ESBA) posted Shares Outstanding of 268.95 million for Q2 2026, up 0.8% from 266.9 million a year earlier and up 0.1% from the prior quarter.
Empire State Realty OP (ESBA) Shares Outstanding (2013 - 2026) Analysis & Trends
For FY2025, Empire State Realty OP's Shares Outstanding came in at 266.94 million, up 0.8% from FY2024.
- Annual Shares Outstanding shows a five-year compound annual growth rate of -1.2% (FY2020 to FY2025).
- In prior years, Empire State Realty OP's Shares Outstanding was 264.71 million in FY2024 (+0.6%), 263.23 million in FY2023 (-1.9%), 268.34 million in FY2022 (-3.3%) and 277.42 million in FY2021 (-2.3%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding since Q2 2022.
- On a year-over-year basis, Shares Outstanding has increased in each of the last nine quarters, with growth averaging 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q1 2025, with growth of 0.9%; the weakest was Q3 2022, with a decline of 4.2%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 268.79 million (Q1 2026), 266.94 million (Q4 2025) and 266.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 709.73 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | 933.09 Mn |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 326.37 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 932.31 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 175.56 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 489.29 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 210.96 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 1.09 Bn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | 374.18 Mn |
| 10 | Empire State Realty OP | 1.08 Bn | 1.08 Bn | - | 268.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 268.95 Mn |
| Mar 31, 2026 | 268.79 Mn |
| Dec 31, 2025 | 266.94 Mn |
| Sep 30, 2025 | 266.96 Mn |
| Jun 30, 2025 | 266.90 Mn |
| Mar 31, 2025 | 267.07 Mn |
| Dec 31, 2024 | 264.71 Mn |
| Sep 30, 2024 | 264.79 Mn |
| Jun 30, 2024 | 264.68 Mn |
| Mar 31, 2024 | 264.56 Mn |
| Dec 31, 2023 | 263.23 Mn |
| Sep 30, 2023 | 262.76 Mn |
| Jun 30, 2023 | 262.90 Mn |
| Mar 31, 2023 | 264.49 Mn |
| Dec 31, 2022 | 268.34 Mn |
| Sep 30, 2022 | 266.04 Mn |
| Jun 30, 2022 | 270.08 Mn |
| Mar 31, 2022 | 273.76 Mn |
| Dec 31, 2021 | 277.42 Mn |
| Sep 30, 2021 | 277.72 Mn |
Empire State Realty OP Shares Outstanding 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=shares-outstanding&ticker=ESBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=ESBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();