Brandywine Realty Trust (BDN) Cost of Revenue (2015 - 2019)
Brandywine Realty Trust (BDN) posted Cost of Revenue of $57.22 million for Q2 2019, up 8.9% from $52.57 million a year earlier but down 0.3% from the prior quarter.
Brandywine Realty Trust (BDN) Cost of Revenue (2015 - 2019) Analysis & Trends
For the trailing twelve months through Jun 30, 2019, Cost of Revenue at Brandywine Realty Trust was $223.58 million, up 4.8% year-over-year; for FY2018, it came in at $218.02 million, up 5.8% from FY2017.
- Annual Cost of Revenue shows a five-year compound annual growth rate of -0.3% (FY2013 to FY2018).
- In prior years, Brandywine Realty Trust's Cost of Revenue was $206 million in FY2017 (-1.6%), $209.45 million in FY2016 (-12.0%), $238.09 million in FY2015 (+0.9%) and $235.97 million in FY2014 (+6.4%).
- Quarterly Cost of Revenue has run from a low of $50.22 million in Q2 2016 to a high of $62.42 million in Q4 2015 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last seven quarters, with growth averaging 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2018, with growth of 10.6%; the weakest was Q4 2016, with a decline of 14.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $57.38 million (Q1 2019), $56.09 million (Q4 2018) and $52.88 million (Q3 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 2.15 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 231.72 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 7.40 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Brandywine Realty Trust | 487.17 Mn | 310.05 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 57.22 Mn |
| Mar 31, 2019 | 57.38 Mn |
| Dec 31, 2018 | 56.09 Mn |
| Sep 30, 2018 | 52.88 Mn |
| Jun 30, 2018 | 52.57 Mn |
| Mar 31, 2018 | 56.50 Mn |
| Dec 31, 2017 | 53.60 Mn |
| Sep 30, 2017 | 50.70 Mn |
| Jun 30, 2017 | 50.62 Mn |
| Mar 31, 2017 | 51.08 Mn |
| Dec 31, 2016 | 53.14 Mn |
| Sep 30, 2016 | 51.32 Mn |
| Jun 30, 2016 | 50.22 Mn |
| Mar 31, 2016 | 54.78 Mn |
| Dec 31, 2015 | 62.42 Mn |
| Sep 30, 2015 | 58.62 Mn |
| Jun 30, 2015 | 56.35 Mn |
| Mar 31, 2015 | 60.70 Mn |
Brandywine Realty Trust Cost of Revenue 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=cost-of-revenue&ticker=BDN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "BDN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=BDN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();