Colliers International (CIGI) Shares Outstanding (2009 - 2026)
Colliers International (CIGI) posted Weighted Average Shares Outstanding of 50.78 million for Q3 2026, up 1.8% from 49.9 million a year earlier and unchanged from the prior quarter.
Colliers International (CIGI) Shares Outstanding (2009 - 2026) Analysis & Trends
Since Q1 2009, Colliers International has reported Weighted Average Shares Outstanding for 71 quarters.
- Annual Weighted Average Shares Outstanding has increased for 13 consecutive years, with a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- In prior years, Colliers International's Weighted Average Shares Outstanding was 49.9 million in FY2024 (+9.2%), 45.68 million in FY2023 (+5.2%), 43.41 million in FY2022 (+1.1%) and 42.92 million in FY2021 (+7.3%).
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last 52 quarters, with growth averaging 5.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 1.1% (Q4 2022) to 9.2% (Q3 2025).
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 50.78 million (Q2 2026), 50.78 million (Q1 2026) and 50.78 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | 1.11 Bn |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 289.27 Mn |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | 45.91 Mn |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | 768.66 Mn |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | 50.78 Mn |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | 234.70 Mn |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 179.83 Mn |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | 37.89 Mn |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | 16.79 Mn |
| 10 | Agnt | 476.02 Mn | 7.06 Mn | 90.97 Mn | 167.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 50.78 Mn |
| Jun 30, 2026 | 50.78 Mn |
| Mar 31, 2026 | 50.78 Mn |
| Dec 31, 2025 | 50.78 Mn |
| Sep 30, 2025 | 49.90 Mn |
| Jun 30, 2025 | 49.90 Mn |
| Mar 31, 2025 | 49.90 Mn |
| Dec 31, 2024 | 49.90 Mn |
| Sep 30, 2024 | 45.68 Mn |
| Jun 30, 2024 | 45.68 Mn |
| Mar 31, 2024 | 45.68 Mn |
| Dec 31, 2023 | 45.68 Mn |
| Sep 30, 2023 | 43.41 Mn |
| Jun 30, 2023 | 43.41 Mn |
| Mar 31, 2023 | 43.41 Mn |
| Dec 31, 2022 | 43.41 Mn |
| Sep 30, 2022 | 42.92 Mn |
| Jun 30, 2022 | 42.92 Mn |
| Mar 31, 2022 | 42.92 Mn |
| Dec 31, 2021 | 42.92 Mn |
Colliers International Shares Outstanding 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=shares-outstanding&ticker=CIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=CIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();