Cbre (CBRE) Operating Expenses (2009 - 2019)
Cbre's Operating Expenses came in at $5.43 billion for Q2 2019, up 10.8% from $4.9 billion a year earlier and up 8.4% from the prior quarter.
Powered by 
Analysis
Cbre (CBRE) Operating Expenses (2009 - 2019) Analysis & Trends
Over the trailing twelve months to Jun 30, 2019, Cbre reported Operating Expenses of $21.35 billion, up 13.2% year-over-year; for FY2018, it was $20.27 billion, up 15.4% from FY2017.
- Operating Expenses has increased in each of the last nine years, with a five-year compound annual growth rate of 25.2% (FY2013 to FY2018).
- Going back by year, Operating Expenses was $17.57 billion in FY2017 (+6.0%), $16.57 billion in FY2016 (+65.2%), $10.03 billion in FY2015 (+20.6%) and $8.32 billion in FY2014 (+26.3%).
- The five-year range for quarterly Operating Expenses is $1.89 billion (Q1 2015) to $7.77 billion (Q4 2016).
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 12.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2016 (growth of 122.3%), and the weakest in Q4 2017 (a decline of 34.4%).
- Business Quant data shows CBRE's Operating Expenses at $5.01 billion (Q1 2019), $5.84 billion (Q4 2018) and $5.07 billion (Q3 2018) in the three quarters before Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.10 Bn | 18.80 Bn | 1.03 Bn | -587.69 Mn |
| 2 | Cbre | 37.79 Bn | 31.56 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.45 Bn | 12.66 Bn | - | 6.64 Bn |
| 4 | Compass | 6.85 Bn | 5.32 Bn | - | 4.18 Bn |
| 5 | Colliers International | 4.59 Bn | 3.67 Bn | 635.11 Mn | 485.10 Mn |
| 6 | Cushman & Wakefield | 2.78 Bn | 264.20 Mn | 512.00 Mn | 2.63 Bn |
| 7 | Newmark | 1.99 Bn | 1.37 Bn | - | 848.02 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 194.81 Mn | - | 200.70 Mn |
| 9 | Rmr | 593.80 Mn | 518.26 Mn | - | 162.79 Mn |
| 10 | Agnt | 586.58 Mn | 116.27 Mn | 98.80 Mn | 97.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 5.43 Bn |
| Mar 31, 2019 | 5.01 Bn |
| Dec 31, 2018 | 5.84 Bn |
| Sep 30, 2018 | 5.07 Bn |
| Jun 30, 2018 | 4.90 Bn |
| Mar 31, 2018 | 4.46 Bn |
| Dec 31, 2017 | 5.09 Bn |
| Sep 30, 2017 | 4.41 Bn |
| Jun 30, 2017 | 4.22 Bn |
| Mar 31, 2017 | 3.85 Bn |
| Dec 31, 2016 | 7.77 Bn |
| Sep 30, 2016 | 3.03 Bn |
| Jun 30, 2016 | 3.02 Bn |
| Mar 31, 2016 | 2.74 Bn |
| Dec 31, 2015 | 3.49 Bn |
| Sep 30, 2015 | 2.48 Bn |
| Jun 30, 2015 | 2.17 Bn |
| Mar 31, 2015 | 1.89 Bn |
| Dec 31, 2014 | 2.52 Bn |
| Sep 30, 2014 | 2.10 Bn |
API Access
Cbre Operating 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=operating-expenses&ticker=CBRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CBRE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=CBRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();