Compass (COMP) EPS (Diluted) (2020 - 2026)
Compass' EPS (Diluted) came in at $0.11 for Q2 2026, up 65.6% from $0.07 a year earlier and up 308.8% from the prior quarter.
Compass (COMP) EPS (Diluted) (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Compass reported EPS (Diluted) of $0.08; for FY2025, it came in at -$0.10.
- Going back by year, EPS (Diluted) was -$0.31 in FY2024, -$0.69 in FY2023, -$1.40 in FY2022 and -$1.51 in FY2021.
- The Q2 2026 figure represents the highest quarterly EPS (Diluted) in data going back to Q4 2020.
- Business Quant data shows COMP's EPS (Diluted) at $0.03 (Q1 2026), -$0.08 (Q4 2025) and -$0.01 (Q3 2025) in the three quarters before Q2 2026.
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 | 0.11 |
| Mar 31, 2026 | 0.03 |
| Dec 31, 2025 | -0.08 |
| Sep 30, 2025 | -0.01 |
| Jun 30, 2025 | 0.07 |
| Mar 31, 2025 | -0.09 |
| Dec 31, 2024 | -0.08 |
| Sep 30, 2024 | 0.00 |
| Jun 30, 2024 | 0.04 |
| Mar 31, 2024 | -0.27 |
| Dec 31, 2023 | -0.18 |
| Sep 30, 2023 | -0.08 |
| Jun 30, 2023 | -0.10 |
| Mar 31, 2023 | -0.33 |
| Dec 31, 2022 | -0.37 |
| Sep 30, 2022 | -0.36 |
| Jun 30, 2022 | -0.24 |
| Mar 31, 2022 | -0.45 |
| Dec 31, 2021 | -0.54 |
| Sep 30, 2021 | -0.25 |
Compass 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=COMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "COMP", "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=COMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();