Empire State Realty Trust (ESRT) Operating Expenses (2012 - 2026)
Empire State Realty Trust's Operating Expenses was $335.61 million in Q2 2026, up 115.0% from $156.13 million a year earlier and up 108.6% from the prior quarter.
Empire State Realty Trust (ESRT) Operating Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Empire State Realty Trust's Operating Expenses was $818.7 million through Jun 30, 2026, up 32.2% year-over-year; for FY2025, it came in at $632.62 million, up 3.8% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $609.21 million in FY2024 (+2.8%), $592.87 million in FY2023 (-1.2%), $600.01 million in FY2022 (+10.1%) and $544.96 million in FY2021 (-1.0%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q3 2012.
- Compared with a year earlier, Operating Expenses has increased for 12 straight quarters, with growth averaging 17.4% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2026 (growth of 115.0%); the worst was Q1 2023 (a decline of 6.9%).
- Per Business Quant data, ESRT's Operating Expenses in the three quarters before Q2 2026 was $160.87 million (Q1 2026), $163.82 million (Q4 2025) and $158.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 167.90 Bn | 150.42 Bn | 1.39 Bn | 3.22 Bn |
| 2 | Prologis | 123.74 Bn | 128.13 Bn | - | 1.47 Bn |
| 3 | Simon Property | 66.68 Bn | 67.94 Bn | - | 900.79 Mn |
| 4 | Realty Income | 52.20 Bn | 54.59 Bn | - | 1.19 Bn |
| 5 | Public Storage | 50.15 Bn | 49.24 Bn | - | 766.20 Mn |
| 6 | Ventas | 44.59 Bn | 43.78 Bn | - | 1.68 Bn |
| 7 | Extra Space Storage | 28.21 Bn | 28.21 Bn | 642.43 Mn | 481.97 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn | 315.61 Mn |
| 9 | Vivmark Residential | 23.00 Bn | 23.19 Bn | - | 566.18 Mn |
| 10 | Empire State Realty Trust | 692.31 Mn | 1.41 Bn | - | 335.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 335.61 Mn |
| Mar 31, 2026 | 160.87 Mn |
| Dec 31, 2025 | 163.82 Mn |
| Sep 30, 2025 | 158.40 Mn |
| Jun 30, 2025 | 156.13 Mn |
| Mar 31, 2025 | 154.28 Mn |
| Dec 31, 2024 | 154.66 Mn |
| Sep 30, 2024 | 154.25 Mn |
| Jun 30, 2024 | 150.18 Mn |
| Mar 31, 2024 | 150.12 Mn |
| Dec 31, 2023 | 152.11 Mn |
| Sep 30, 2023 | 149.27 Mn |
| Jun 30, 2023 | 144.35 Mn |
| Mar 31, 2023 | 147.13 Mn |
| Dec 31, 2022 | 142.32 Mn |
| Sep 30, 2022 | 148.19 Mn |
| Jun 30, 2022 | 151.52 Mn |
| Mar 31, 2022 | 157.99 Mn |
| Dec 31, 2021 | 139.24 Mn |
| Sep 30, 2021 | 151.85 Mn |
Empire State Realty Trust 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=operating-expenses&ticker=ESRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ESRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ESRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();