Empire State Realty OP (ESBA) Property Operating Expenses (2013 - 2026)
Empire State Realty OP's Property Operating Expenses was $46.5 million in Q3 2026, down 1.0% from $46.96 million a year earlier and down 2.7% from the prior quarter.
Empire State Realty OP (ESBA) Property Operating Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Empire State Realty OP's Property Operating Expenses was $189.83 million through Sep 30, 2026, up 3.4% year-over-year; for FY2025, it came in at $184.71 million, up 3.1% from FY2024.
- Property Operating Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In earlier years, Property Operating Expenses was $179.18 million in FY2024 (+7.1%), $167.32 million in FY2023 (+5.9%), $157.94 million in FY2022 (+24.4%) and $126.99 million in FY2021 (-6.7%).
- The Q3 2026 figure marks the lowest quarterly Property Operating Expenses since Q2 2025.
- Compared with a year earlier, Property Operating Expenses was higher in six of the last eight quarters, with growth averaging 4.1%.
- The best year-over-year quarter for Property Operating Expenses over five years was Q2 2022 (growth of 30.0%); the worst was Q3 2026 (a decline of 1.0%).
- Per Business Quant data, ESBA's Property Operating Expenses in the three quarters before Q3 2026 was $47.77 million (Q2 2026), $47.74 million (Q1 2026) and $47.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn | 2.25 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - | 511.72 Mn |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - | 180.83 Mn |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn | 333.19 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - | 122.39 Mn |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn | 1.10 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn | 158.13 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - | 245.28 Mn |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn | 238.84 Mn |
| 10 | Empire State Realty OP | 1.41 Bn | 1.75 Bn | 110.85 Mn | 46.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.50 Mn |
| Jun 30, 2026 | 47.77 Mn |
| Mar 31, 2026 | 47.74 Mn |
| Dec 31, 2025 | 47.82 Mn |
| Sep 30, 2025 | 46.96 Mn |
| Jun 30, 2025 | 44.88 Mn |
| Mar 31, 2025 | 45.06 Mn |
| Dec 31, 2024 | 46.65 Mn |
| Sep 30, 2024 | 45.95 Mn |
| Jun 30, 2024 | 41.52 Mn |
| Mar 31, 2024 | 45.06 Mn |
| Dec 31, 2023 | 42.94 Mn |
| Sep 30, 2023 | 42.82 Mn |
| Jun 30, 2023 | 39.52 Mn |
| Mar 31, 2023 | 42.04 Mn |
| Dec 31, 2022 | 39.06 Mn |
| Sep 30, 2022 | 42.80 Mn |
| Jun 30, 2022 | 37.43 Mn |
| Mar 31, 2022 | 38.64 Mn |
| Dec 31, 2021 | 34.56 Mn |
Empire State Realty OP Property Operating Expenses 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=property-operating-expenses&ticker=ESBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "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=property-operating-expenses&ticker=ESBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();