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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 40.20 Bn | 33.50 Bn | 2.13 Bn | 1.52 |
| 2 | KE Holdings | 20.30 Bn | -6.88 Bn | 1.03 Bn | 0.33 |
| 3 | Jones Lang Lasalle | 17.34 Bn | 15.34 Bn | - | 6.85 |
| 4 | Compass | 8.22 Bn | 6.67 Bn | - | 0.11 |
| 5 | Colliers International | 4.86 Bn | 3.90 Bn | 637.29 Mn | -0.47 |
| 6 | Cushman & Wakefield | 3.36 Bn | 983.08 Mn | 486.30 Mn | 0.22 |
| 7 | Newmark | 2.14 Bn | 1.22 Bn | - | 0.11 |
| 8 | Marcus & Millichap | 1.01 Bn | 107.67 Mn | - | 0.10 |
| 9 | Agnt | 539.58 Mn | 70.61 Mn | 90.97 Mn | -0.03 |
| 10 | Rmr | 264.37 Mn | 14.46 Mn | - | 0.19 |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();