Cbre (CBRE) Interest Expenses (2009 - 2019)
Cbre (CBRE) reported Interest Expenses of $22.73 million for Q1 2019, down 21.2% from $28.86 million a year earlier and down 8.6% from the prior quarter.
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Analysis
Cbre (CBRE) Interest Expenses (2009 - 2019) Analysis & Trends
Over the twelve months ended Mar 31, 2019, Cbre's Interest Expenses came in at $101.14 million, down 23.2% year-over-year; for FY2018, it came in at $107.27 million, down 21.6% from FY2017.
- Interest Expenses has a five-year compound annual growth rate of -4.5% (FY2013 to FY2018).
- By year, Interest Expenses came in at $136.81 million in FY2017 (-5.5%), $144.85 million in FY2016 (+21.8%), $118.88 million in FY2015 (+6.1%) and $112.04 million in FY2014 (-17.1%).
- The Q1 2019 figure ranks as the lowest quarterly Interest Expenses in data going back to Q2 2009.
- Year over year, Interest Expenses has now declined in each of the last nine quarters, with an average decline of 15.9% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q2 2016 (growth of 41.4%); the low point was Q4 2018 (a decline of 24.4%).
- Per Business Quant data, the three quarters before Q1 2019 came in at $24.88 million (Q4 2018), $26.65 million (Q3 2018) and $26.89 million (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 41.00 Mn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 59.60 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 140,000.00 |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 3.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 22.73 Mn |
| Dec 31, 2018 | 24.88 Mn |
| Sep 30, 2018 | 26.65 Mn |
| Jun 30, 2018 | 26.89 Mn |
| Mar 31, 2018 | 28.86 Mn |
| Dec 31, 2017 | 32.89 Mn |
| Sep 30, 2017 | 34.48 Mn |
| Jun 30, 2017 | 35.43 Mn |
| Mar 31, 2017 | 34.01 Mn |
| Dec 31, 2016 | 35.80 Mn |
| Sep 30, 2016 | 37.27 Mn |
| Jun 30, 2016 | 36.99 Mn |
| Mar 31, 2016 | 34.79 Mn |
| Dec 31, 2015 | 35.81 Mn |
| Sep 30, 2015 | 30.70 Mn |
| Jun 30, 2015 | 26.15 Mn |
| Mar 31, 2015 | 26.21 Mn |
| Dec 31, 2014 | 27.71 Mn |
| Sep 30, 2014 | 27.84 Mn |
| Jun 30, 2014 | 28.47 Mn |
API Access
Cbre Interest 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=interest-expenses&ticker=CBRE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=CBRE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();