Empire State Realty Trust (ESRT) Change in Accured Expenses (2012 - 2026)
Empire State Realty Trust (ESRT) posted Change in Accured Expenses of -$5.26 million for Q2 2026, compared with -$3.59 million a year earlier.
Empire State Realty Trust (ESRT) Change in Accured Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Empire State Realty Trust was -$1.91 million; for FY2025, it came in at $9.4 million, down 30.9% from FY2024.
- In prior years, Empire State Realty Trust's Change in Accured Expenses was $13.59 million in FY2024, $746,000 in FY2023 (-84.1%), $4.71 million in FY2022 and -$99,000 in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$12.66 million in Q1 2022 to a high of $10.43 million in Q2 2022 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last five quarters, with growth averaging 126.4%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2025, with growth of 533.0%; the weakest was Q4 2024, with a decline of 81.3%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$9.39 million (Q1 2026), $8.06 million (Q4 2025) and $4.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 163.71 Bn | 146.23 Bn | 1.39 Bn | - |
| 2 | Prologis | 119.65 Bn | 124.04 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.89 Bn | 70.10 Bn | - | -301.36 Mn |
| 4 | Realty Income | 50.65 Bn | 53.03 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.89 Bn | 48.98 Bn | - | 144.79 Mn |
| 6 | Ventas | 42.94 Bn | 42.14 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.13 Bn | 28.13 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 25.04 Bn | 23.15 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.56 Bn | 22.75 Bn | - | -25.21 Mn |
| 10 | Empire State Realty Trust | 711.21 Mn | 1.43 Bn | - | -5.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.26 Mn |
| Mar 31, 2026 | -9.39 Mn |
| Dec 31, 2025 | 8.06 Mn |
| Sep 30, 2025 | 4.67 Mn |
| Jun 30, 2025 | -3.59 Mn |
| Mar 31, 2025 | 250,000.00 |
| Dec 31, 2024 | 1.27 Mn |
| Sep 30, 2024 | 7.99 Mn |
| Jun 30, 2024 | 4.19 Mn |
| Mar 31, 2024 | 141,000.00 |
| Dec 31, 2023 | 6.80 Mn |
| Sep 30, 2023 | 3.27 Mn |
| Jun 30, 2023 | -2.52 Mn |
| Mar 31, 2023 | -6.80 Mn |
| Dec 31, 2022 | 2.19 Mn |
| Sep 30, 2022 | 4.75 Mn |
| Jun 30, 2022 | 10.43 Mn |
| Mar 31, 2022 | -12.66 Mn |
| Dec 31, 2021 | 1.19 Mn |
| Sep 30, 2021 | 3.95 Mn |
Empire State Realty Trust Change in Accured 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=change-in-accured-expenses&ticker=ESRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ESRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();