Empire State Realty OP (ESBA) Accounts Payable and Accrued Liabilities (2012 - 2026)
Empire State Realty OP (ESBA) posted Accounts Payables of $107.38 million for Q3 2026, down 3.9% from $111.73 million a year earlier and down 18.8% from the prior quarter.
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Analysis
Empire State Realty OP (ESBA) Accounts Payable and Accrued Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Empire State Realty OP's Accounts Payables came in at $120.15 million, down 9.0% from FY2024.
- Annual Accounts Payables shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, Empire State Realty OP's Accounts Payables was $132.02 million in FY2024 (+32.3%), $99.76 million in FY2023 (+23.6%), $80.73 million in FY2022 (-33.2%) and $120.81 million in FY2021 (+17.1%).
- The Q3 2026 figure stands as the lowest quarterly Accounts Payables since Q2 2025.
- On a year-over-year basis, Accounts Payables increased in five of the last eight quarters, with growth averaging 16.2%.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q1 2025, with growth of 48.7%; the weakest was Q2 2023, with a decline of 37.0%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $132.22 million (Q2 2026), $111.92 million (Q1 2026) and $120.15 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.36 Bn | 166.43 Bn | 1.47 Bn |
| 2 | Prologis | 122.34 Bn | 120.73 Bn | - |
| 3 | Simon Property | 79.95 Bn | 78.05 Bn | - |
| 4 | Public Storage | 62.14 Bn | 61.58 Bn | 112.08 Mn |
| 5 | Realty Income | 55.95 Bn | 57.33 Bn | - |
| 6 | Ventas | 47.02 Bn | 46.18 Bn | -3.39 Bn |
| 7 | Ryman Hospitality Properties | 46.62 Bn | 45.46 Bn | 266.41 Mn |
| 8 | Vivmark Residential | 37.34 Bn | 37.09 Bn | - |
| 9 | Extra Space Storage | 33.12 Bn | 32.90 Bn | 650.96 Mn |
| 10 | Empire State Realty OP | 1.41 Bn | 1.75 Bn | 110.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 107.38 Mn |
| Jun 30, 2026 | 132.22 Mn |
| Mar 31, 2026 | 111.92 Mn |
| Dec 31, 2025 | 120.15 Mn |
| Sep 30, 2025 | 111.73 Mn |
| Jun 30, 2025 | 104.32 Mn |
| Mar 31, 2025 | 135.30 Mn |
| Dec 31, 2024 | 132.02 Mn |
| Sep 30, 2024 | 81.44 Mn |
| Jun 30, 2024 | 90.91 Mn |
| Mar 31, 2024 | 91.01 Mn |
| Dec 31, 2023 | 99.76 Mn |
| Sep 30, 2023 | 83.30 Mn |
| Jun 30, 2023 | 71.71 Mn |
| Mar 31, 2023 | 71.61 Mn |
| Dec 31, 2022 | 80.73 Mn |
| Sep 30, 2022 | 94.44 Mn |
| Jun 30, 2022 | 113.84 Mn |
| Mar 31, 2022 | 108.08 Mn |
| Dec 31, 2021 | 120.81 Mn |
API Access
Empire State Realty OP Accounts Payable and Accrued Liabilities 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=accounts-payable-and-accrued-liabilities&ticker=ESBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payable-and-accrued-liabilities", "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=accounts-payable-and-accrued-liabilities&ticker=ESBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();