Re (RMAX) EPS (Basic) (2013 - 2026)
Re (RMAX) reported EPS (Basic) of -$0.20 for Q2 2026, compared with $0.23 a year earlier.
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Analysis
Re (RMAX) EPS (Basic) (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Re's EPS (Basic) came in at -$0.16; for FY2025, it came in at $0.68, up 57.4% from FY2024.
- EPS (Basic) has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- By year, EPS (Basic) came in at $0.43 in FY2024, -$5.44 in FY2023, $0.58 in FY2022 and -$1.32 in FY2021.
- Five-year quarterly EPS (Basic) spans a low of -$3.28 in Q3 2023 and a high of $0.36 in Q4 2024.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$0.48 (Q1 2026), $0.34 (Q4 2025) and $0.20 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn | 0.70 |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn | 0.35 |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - | 4.66 |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - | 0.12 |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn | 0.88 |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn | 0.22 |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - | 0.15 |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - | 0.10 |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn | -0.02 |
| 10 | Re | 263.49 Mn | -673.06 Mn | - | -0.20 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.20 |
| Mar 31, 2026 | -0.48 |
| Dec 31, 2025 | 0.34 |
| Sep 30, 2025 | 0.20 |
| Jun 30, 2025 | 0.23 |
| Mar 31, 2025 | -0.10 |
| Dec 31, 2024 | 0.36 |
| Sep 30, 2024 | 0.05 |
| Jun 30, 2024 | 0.20 |
| Mar 31, 2024 | -0.18 |
| Dec 31, 2023 | -2.23 |
| Sep 30, 2023 | -3.28 |
| Jun 30, 2023 | 0.11 |
| Mar 31, 2023 | -0.04 |
| Dec 31, 2022 | 0.18 |
| Sep 30, 2022 | 0.01 |
| Jun 30, 2022 | 0.31 |
| Mar 31, 2022 | 0.08 |
| Dec 31, 2021 | -0.32 |
| Sep 30, 2021 | -1.34 |
API Access
Re EPS (Basic) 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-basic&ticker=RMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "ticker": "RMAX", "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-basic&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();