Colliers International (CIGI) EPS (Diluted) (2009 - 2026)
Colliers International (CIGI) recorded EPS (Diluted) of $0.87 in the quarter ended Jun 30, 2026, up 116.4% from $0.40 a year earlier.
Colliers International (CIGI) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a TTM basis, Colliers International's EPS (Diluted) came in at $3.21 as of Jun 30, 2026, down 4.0% year-over-year; for the year ended Dec 31, 2025, it was $2.02, down 37.4% from the prior year.
- Annual EPS (Diluted) has a five-year compound annual growth rate of 10.6% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EPS (Diluted) came in at $3.22 in the year ended Dec 31, 2024 (+127.5%), $1.42 in the year ended Dec 31, 2023 (+34.5%), $1.05 in the year ended Dec 31, 2022 and -$9.09 in the year ended Dec 31, 2021.
- Quarterly EPS (Diluted) has ranged from -$0.65 in the quarter ended Mar 31, 2023 to $1.87 in the quarter ended Dec 31, 2024 over the past five years.
- On a year-over-year basis, EPS (Diluted) rose in four of the last seven quarters, with an average decline of 3.4%.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 553.4% in the quarter ended Jun 30, 2024, against a decline of 93.7% in the quarter ended Mar 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -$0.39 (quarter ended Mar 31, 2026), $1.61 (quarter ended Dec 31, 2025) and $1.13 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.10 Bn | 18.80 Bn | 1.03 Bn | 0.33 |
| 2 | Cbre | 37.79 Bn | 31.56 Bn | 2.09 Bn | 0.69 |
| 3 | Jones Lang Lasalle | 14.45 Bn | 12.66 Bn | - | 4.59 |
| 4 | Compass | 6.85 Bn | 5.32 Bn | - | 0.11 |
| 5 | Colliers International | 4.59 Bn | 3.67 Bn | 635.11 Mn | 0.87 |
| 6 | Cushman & Wakefield | 2.78 Bn | 264.20 Mn | 512.00 Mn | 0.22 |
| 7 | Newmark | 1.99 Bn | 1.37 Bn | - | 0.11 |
| 8 | Marcus & Millichap | 1.10 Bn | 194.81 Mn | - | 0.10 |
| 9 | Rmr | 593.80 Mn | 518.26 Mn | - | 0.19 |
| 10 | Agnt | 586.58 Mn | 116.27 Mn | 98.80 Mn | -0.02 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.87 |
| Mar 31, 2026 | -0.39 |
| Dec 31, 2025 | 1.61 |
| Sep 30, 2025 | 1.13 |
| Jun 30, 2025 | 0.40 |
| Mar 31, 2025 | 0.03 |
| Dec 31, 2024 | 1.87 |
| Sep 30, 2024 | 1.13 |
| Jun 30, 2024 | 1.04 |
| Mar 31, 2024 | 0.47 |
| Dec 31, 2023 | 1.84 |
| Sep 30, 2023 | 0.90 |
| Jun 30, 2023 | 0.16 |
| Mar 31, 2023 | -0.65 |
| Dec 31, 2022 | 1.41 |
| Sep 30, 2022 | 0.69 |
| Jun 30, 2022 | 0.98 |
| Mar 31, 2022 | -0.24 |
| Dec 31, 2021 | 1.01 |
| Sep 30, 2021 | -0.02 |
Colliers International EPS (Diluted) 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=eps-diluted&ticker=CIGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=CIGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();