Empire State Realty OP (ESBA) Capital Expenditures (2012 - 2026)
Empire State Realty OP's Capital Expenditures was $30.99 million in Q2 2026, down 62.1% from $81.81 million a year earlier but up 70.4% from the prior quarter.
Empire State Realty OP (ESBA) Capital Expenditures (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Empire State Realty OP's Capital Expenditures was $123.81 million through Jun 30, 2026, down 38.2% year-over-year; for FY2025, it came in at $198.5 million, up 14.8% from FY2024.
- Capital Expenditures has now increased for four consecutive years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $172.91 million in FY2024 (+24.1%), $139.33 million in FY2023 (+10.3%), $126.27 million in FY2022 (+32.9%) and $95.04 million in FY2021 (-33.6%).
- Quarterly Capital Expenditures has moved between $18.19 million (Q1 2026) and $81.81 million (Q2 2025) over five years.
- Compared with a year earlier, Capital Expenditures was higher in three of the last eight quarters, with growth averaging 3.3%.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2025 (growth of 88.0%); the worst was Q2 2026 (a decline of 62.1%).
- Per Business Quant data, ESBA's Capital Expenditures in the three quarters before Q2 2026 was $18.19 million (Q1 2026), $42.1 million (Q4 2025) and $32.53 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 319.29 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 254.90 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 57.19 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 56.02 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 101.83 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 31.76 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 21.69 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Empire State Realty OP | 1.08 Bn | 1.08 Bn | - | 30.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.99 Mn |
| Mar 31, 2026 | 18.19 Mn |
| Dec 31, 2025 | 42.10 Mn |
| Sep 30, 2025 | 32.53 Mn |
| Jun 30, 2025 | 81.81 Mn |
| Mar 31, 2025 | 42.06 Mn |
| Dec 31, 2024 | 29.01 Mn |
| Sep 30, 2024 | 47.38 Mn |
| Jun 30, 2024 | 43.52 Mn |
| Mar 31, 2024 | 53.00 Mn |
| Dec 31, 2023 | 37.95 Mn |
| Sep 30, 2023 | 25.21 Mn |
| Jun 30, 2023 | 34.41 Mn |
| Mar 31, 2023 | 41.76 Mn |
| Dec 31, 2022 | 37.18 Mn |
| Sep 30, 2022 | 32.47 Mn |
| Jun 30, 2022 | 21.67 Mn |
| Mar 31, 2022 | 34.95 Mn |
| Dec 31, 2021 | 24.32 Mn |
| Sep 30, 2021 | 22.37 Mn |
Empire State Realty OP Capital Expenditures 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=capital-expenditures&ticker=ESBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ESBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();