Colliers International (CIGI) Accumulated Expenses (2009 - 2017)
Colliers International (CIGI) recorded Accumulated Expenses of $516.1 million in the quarter ended Dec 31, 2017, up 29.1% from $399.76 million a year earlier and up 26.9% from the prior quarter.
Colliers International (CIGI) Accumulated Expenses (2009 - 2017) Analysis & Trends
Starting with the quarter ended Mar 31, 2009, Colliers International's Accumulated Expenses history includes 35 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 10.5% (years ended Dec 2012 to Dec 2017).
- Across earlier years, Accumulated Expenses came in at $399.76 million in the year ended Dec 31, 2016 (+5.8%), $377.78 million in the year ended Dec 31, 2015 (-0.4%), $379.26 million in the year ended Dec 31, 2014 (+576.2%) and $56.09 million in the year ended Dec 31, 2013 (-82.1%).
- The figure for the quarter ended Dec 31, 2017 is the highest quarterly Accumulated Expenses in data going back to the quarter ended Mar 31, 2009.
- On a year-over-year basis, Accumulated Expenses has increased for six consecutive quarters, with growth averaging 10.2% over the last seven quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 576.2% in the quarter ended Dec 31, 2014, against a decline of 82.1% in the quarter ended Dec 31, 2013 at the low end.
- Per Business Quant, the preceding three quarters came in at $406.67 million (quarter ended Sep 30, 2017), $345.62 million (quarter ended Jun 30, 2017) and $316.57 million (quarter ended Mar 31, 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 38.42 Bn | 31.73 Bn | 2.09 Bn |
| 2 | KE Holdings | 19.08 Bn | -8.10 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.46 Bn | 12.53 Bn | - |
| 4 | Compass | 7.52 Bn | 5.97 Bn | - |
| 5 | Colliers International | 4.89 Bn | 3.96 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.84 Bn | 318.88 Mn | 512.00 Mn |
| 7 | Newmark | 2.12 Bn | 1.19 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 176.52 Mn | - |
| 9 | Agnt | 692.06 Mn | 221.75 Mn | 98.80 Mn |
| 10 | Rmr | 298.21 Mn | 48.29 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 516.10 Mn |
| Sep 30, 2017 | 406.67 Mn |
| Jun 30, 2017 | 345.62 Mn |
| Mar 31, 2017 | 316.57 Mn |
| Dec 31, 2016 | 399.76 Mn |
| Sep 30, 2016 | 338.79 Mn |
| Jun 30, 2016 | 313.71 Mn |
| Mar 31, 2016 | 310.57 Mn |
| Dec 31, 2015 | 377.78 Mn |
| Sep 30, 2015 | 305.85 Mn |
| Jun 30, 2015 | 288.05 Mn |
| Mar 31, 2015 | 58.33 Mn |
| Dec 31, 2014 | 379.26 Mn |
| Sep 30, 2014 | 335.94 Mn |
| Jun 30, 2014 | 322.80 Mn |
| Mar 31, 2014 | 295.82 Mn |
| Dec 31, 2013 | 392.38 Mn |
| Sep 30, 2013 | 302.07 Mn |
| Jun 30, 2013 | 273.08 Mn |
| Mar 31, 2013 | 265.69 Mn |
Colliers International Accumulated 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=accumulated-expenses&ticker=CIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CIGI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();