Empire State Realty OP (ESBA) Price to FCF (2014 - 2024)
Empire State Realty OP's (ESBA) Price to FCF came in at 34.58 for Q2 2024, down 51.6% from the prior quarter.
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Analysis
Empire State Realty OP (ESBA) Price to FCF (2014 - 2024) Analysis & Trends
For FY2023, Empire State Realty OP's Price to FCF stood at 37.35.
- In prior years, Empire State Realty OP's Price to FCF was 66.22 in FY2020.
- The Q2 2024 figure stands as the lowest quarterly Price to FCF since Q3 2021.
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 |
|---|---|
| Jun 30, 2024 | 34.58 |
| Mar 31, 2024 | 71.39 |
| Dec 31, 2023 | 38.89 |
| Mar 31, 2023 | 493.92 |
| Sep 30, 2022 | 159.71 |
| Jun 30, 2022 | 1,892.95 |
| Dec 31, 2021 | 294.06 |
| Sep 30, 2021 | 30.53 |
| Jun 30, 2021 | 38.38 |
| Mar 31, 2021 | 36.00 |
| Dec 31, 2020 | 43.62 |
| Sep 30, 2020 | 39.60 |
| Jun 30, 2020 | 62.14 |
| Sep 30, 2019 | 134.44 |
| Mar 31, 2019 | 496.53 |
| Dec 31, 2018 | 240.51 |
| Sep 30, 2017 | 1,564.13 |
| Dec 31, 2016 | 747.09 |
| Sep 30, 2016 | 264.86 |
| Jun 30, 2016 | 106.89 |
API Access
Empire State Realty OP Price to FCF 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=price-to-fcf&ticker=ESBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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=price-to-fcf&ticker=ESBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();