Federal Realty Investment Trust (FRT) Capital Expenditures (2009 - 2019)
Federal Realty Investment Trust (FRT) posted Capital Expenditures of $28.95 million for Q4 2019, up 88.0% from $15.39 million a year earlier and up 68.1% from the prior quarter.
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Analysis
Federal Realty Investment Trust (FRT) Capital Expenditures (2009 - 2019) Analysis & Trends
For FY2019, Federal Realty Investment Trust's Capital Expenditures came in at $82.84 million, up 25.2% from FY2018.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 12.3% (FY2014 to FY2019).
- In prior years, Federal Realty Investment Trust's Capital Expenditures was $66.14 million in FY2018 (-14.1%), $76.95 million in FY2017 (+33.7%), $57.56 million in FY2016 (+24.9%) and $46.1 million in FY2015 (-0.4%).
- The Q4 2019 figure stands as the highest quarterly Capital Expenditures in data going back to Q3 2009.
- On a year-over-year basis, Capital Expenditures has increased in each of the last three quarters, with growth averaging 9.2% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q3 2016, with growth of 126.7%; the weakest was Q3 2015, with a decline of 43.7%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $17.22 million (Q3 2019), $22.61 million (Q2 2019) and $14.06 million (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 166.01 Bn | 148.52 Bn | 1.39 Bn | 319.29 Mn |
| 2 | Prologis | 121.16 Bn | 125.55 Bn | - | - |
| 3 | Simon Property | 65.49 Bn | 66.75 Bn | - | 254.90 Mn |
| 4 | Realty Income | 51.38 Bn | 53.76 Bn | - | 57.19 Mn |
| 5 | Public Storage | 49.67 Bn | 48.75 Bn | - | 56.02 Mn |
| 6 | Ventas | 43.61 Bn | 42.81 Bn | - | 101.83 Mn |
| 7 | Extra Space Storage | 27.79 Bn | 27.79 Bn | 642.43 Mn | 31.76 Mn |
| 8 | Vici Properties | 25.29 Bn | 23.41 Bn | 1.05 Bn | 21.69 Mn |
| 9 | Vivmark Residential | 22.78 Bn | 22.97 Bn | - | - |
| 10 | Federal Realty Investment Trust | 9.41 Bn | 9.59 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 28.95 Mn |
| Sep 30, 2019 | 17.22 Mn |
| Jun 30, 2019 | 22.61 Mn |
| Mar 31, 2019 | 14.06 Mn |
| Dec 31, 2018 | 15.39 Mn |
| Sep 30, 2018 | 15.09 Mn |
| Jun 30, 2018 | 15.46 Mn |
| Mar 31, 2018 | 20.19 Mn |
| Dec 31, 2017 | 24.08 Mn |
| Sep 30, 2017 | 19.25 Mn |
| Jun 30, 2017 | 17.26 Mn |
| Mar 31, 2017 | 16.37 Mn |
| Dec 31, 2016 | 17.23 Mn |
| Sep 30, 2016 | 16.73 Mn |
| Jun 30, 2016 | 11.22 Mn |
| Mar 31, 2016 | 12.38 Mn |
| Dec 31, 2015 | 17.97 Mn |
| Sep 30, 2015 | 7.38 Mn |
| Jun 30, 2015 | 10.28 Mn |
| Mar 31, 2015 | 10.47 Mn |
API Access
Federal Realty Investment Trust Capital Expenditures 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=capital-expenditures&ticker=FRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "FRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=FRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();