Empire State Realty OP (ESBA) Change in Accured Expenses (2012 - 2026)
Empire State Realty OP (ESBA) recorded Change in Accured Expenses of -$5.26 million in Q2 2026, compared with -$3.59 million a year earlier.
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Analysis
Empire State Realty OP (ESBA) Change in Accured Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, Empire State Realty OP's Change in Accured Expenses came in at -$1.91 million as of Jun 30, 2026; for FY2025, it came in at $9.4 million, down 30.9% from FY2024.
- Across earlier years, Change in Accured Expenses came in at $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 ranged from -$12.66 million in Q1 2022 to $10.43 million in Q2 2022 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last five quarters, with growth averaging 126.4%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 533.0% in Q4 2025, against a decline of 81.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -$9.39 million (Q1 2026), $8.06 million (Q4 2025) and $4.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | - |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | 187.04 Mn |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | -301.36 Mn |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | 130.70 Mn |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | 144.79 Mn |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | 49.02 Mn |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 69.91 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 47.28 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | -25.21 Mn |
| 10 | Empire State Realty OP | 1.04 Bn | 1.04 Bn | - | -5.26 Mn |
Historic Data
Download Data
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 |
API Access
Empire State Realty OP 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=ESBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ESBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();