Colliers International (CIGI) Inventory (2009 - 2015)
Colliers International (CIGI) posted Inventory of $18.23 million for Q3 2015, up 15.7% from $15.75 million a year earlier and up 8.1% from the prior quarter.
Colliers International (CIGI) Inventory (2009 - 2015) Analysis & Trends
At the end of FY2014, Colliers International's Inventory came in at $18.95 million, up 19.9% from FY2013.
- Annual Inventory has increased for four consecutive years, with a five-year compound annual growth rate of 14.9% (FY2009 to FY2014).
- In prior years, Colliers International's Inventory was $15.8 million in FY2013 (+5.9%), $14.92 million in FY2012 (+26.1%), $11.83 million in FY2011 (+29.4%) and $9.14 million in FY2010 (-3.4%).
- Quarterly Inventory has run from a low of $8.8 million in Q1 2013 to a high of $27.15 million in Q1 2014 over five years.
- On a year-over-year basis, Inventory increased in five of the last eight quarters, with growth averaging 25.0%.
- The strongest year-over-year quarter for Inventory in the past five years was Q1 2014, with growth of 208.4%; the weakest was Q1 2015, with a decline of 59.0%.
- According to Business Quant data, Inventory for the three prior quarters was $16.87 million (Q2 2015), $11.13 million (Q1 2015) and $18.95 million (Q4 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.37 Bn | 32.67 Bn | 2.13 Bn | - |
| 2 | KE Holdings | 20.10 Bn | -9.36 Bn | - | 407.95 Mn |
| 3 | Jones Lang Lasalle | 17.12 Bn | 15.11 Bn | - | - |
| 4 | Compass | 7.90 Bn | 6.35 Bn | - | - |
| 5 | Colliers International | 4.78 Bn | 3.93 Bn | - | - |
| 6 | Cushman & Wakefield | 3.30 Bn | 929.10 Mn | 486.30 Mn | - |
| 7 | Newmark | 2.11 Bn | 1.18 Bn | - | - |
| 8 | Marcus & Millichap | 987.28 Mn | 84.22 Mn | - | - |
| 9 | Agnt | 526.15 Mn | 57.18 Mn | 90.97 Mn | - |
| 10 | Rmr | 257.24 Mn | 7.32 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | 18.23 Mn |
| Jun 30, 2015 | 16.87 Mn |
| Mar 31, 2015 | 11.13 Mn |
| Dec 31, 2014 | 18.95 Mn |
| Sep 30, 2014 | 15.75 Mn |
| Jun 30, 2014 | 21.53 Mn |
| Mar 31, 2014 | 27.15 Mn |
| Dec 31, 2013 | 15.80 Mn |
| Sep 30, 2013 | 17.13 Mn |
| Jun 30, 2013 | 15.55 Mn |
| Mar 31, 2013 | 8.80 Mn |
| Dec 31, 2012 | 14.92 Mn |
| Sep 30, 2012 | 17.08 Mn |
| Jun 30, 2012 | 18.43 Mn |
| Mar 31, 2012 | 16.01 Mn |
| Dec 31, 2011 | 11.83 Mn |
| Sep 30, 2011 | 12.14 Mn |
| Jun 30, 2011 | 12.10 Mn |
| Mar 31, 2011 | 11.88 Mn |
| Dec 31, 2010 | 9.14 Mn |
Colliers International Inventory 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=inventory&ticker=CIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();