Empire State Realty Trust (ESRT) General and Administrative (2012 - 2026)
Empire State Realty Trust's Selling, General & Administrative was $25.12 million in Q2 2026, up 34.5% from $18.69 million a year earlier and up 38.9% from the prior quarter.
Empire State Realty Trust (ESRT) General and Administrative (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Empire State Realty Trust's Selling, General & Administrative was $80.43 million through Jun 30, 2026, up 11.9% year-over-year; for FY2025, it was $72.84 million, up 3.7% from FY2024.
- Selling, General & Administrative has now increased for four consecutive years, with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $70.23 million in FY2024 (+9.8%), $63.94 million in FY2023 (+3.5%), $61.77 million in FY2022 (+10.4%) and $55.95 million in FY2021 (-10.1%).
- The Q2 2026 figure marks the highest quarterly Selling, General & Administrative in data going back to Q3 2012.
- Compared with a year earlier, Selling, General & Administrative has increased for ten straight quarters, with growth averaging 10.2% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q2 2026 (growth of 34.5%); the worst was Q4 2023 (a decline of 2.0%).
- Per Business Quant data, ESRT's Selling, General & Administrative in the three quarters before Q2 2026 was $18.09 million (Q1 2026), $18.47 million (Q4 2025) and $18.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - |
| 10 | Empire State Realty Trust | 884.31 Mn | 443.11 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.12 Mn |
| Mar 31, 2026 | 18.09 Mn |
| Dec 31, 2025 | 18.47 Mn |
| Sep 30, 2025 | 18.74 Mn |
| Jun 30, 2025 | 18.69 Mn |
| Mar 31, 2025 | 16.94 Mn |
| Dec 31, 2024 | 17.87 Mn |
| Sep 30, 2024 | 18.37 Mn |
| Jun 30, 2024 | 18.02 Mn |
| Mar 31, 2024 | 15.97 Mn |
| Dec 31, 2023 | 16.14 Mn |
| Sep 30, 2023 | 16.01 Mn |
| Jun 30, 2023 | 16.08 Mn |
| Mar 31, 2023 | 15.71 Mn |
| Dec 31, 2022 | 16.48 Mn |
| Sep 30, 2022 | 15.73 Mn |
| Jun 30, 2022 | 15.88 Mn |
| Mar 31, 2022 | 13.69 Mn |
| Dec 31, 2021 | 13.58 Mn |
| Sep 30, 2021 | 14.43 Mn |
Empire State Realty Trust General and Administrative 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=general-and-administrative&ticker=ESRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "general-and-administrative", "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=general-and-administrative&ticker=ESRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();