Re (RMAX) Payout Ratio (2015 - 2026)
Re's Payout Ratio came in at 0.05 for Q1 2026, up 37.4% from 0.04 a year earlier and up 32.2% from the prior quarter.
Analysis
Re (RMAX) Payout Ratio (2015 - 2026) Analysis & Trends
For FY2025, Re's Payout Ratio was 0.04, down 50.0% from FY2024.
- Going back by year, Payout Ratio was 0.07 in FY2024 and 1.69 in FY2022.
- The Q1 2026 figure represents the highest quarterly Payout Ratio since Q4 2024.
- Business Quant data shows RMAX's Payout Ratio at 0.04 (Q4 2025), 0.03 (Q3 2025) and 0.03 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn |
| 10 | Re | 263.49 Mn | -673.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.05 |
| Dec 31, 2025 | 0.04 |
| Sep 30, 2025 | 0.03 |
| Jun 30, 2025 | 0.03 |
| Mar 31, 2025 | 0.04 |
| Dec 31, 2024 | 0.07 |
| Jun 30, 2023 | 3.66 |
| Mar 31, 2023 | 2.07 |
| Dec 31, 2022 | 1.69 |
| Sep 30, 2022 | 12.01 |
| Jun 30, 2021 | 1.52 |
| Mar 31, 2021 | 1.77 |
| Dec 31, 2020 | 1.48 |
| Sep 30, 2020 | 1.27 |
| Jun 30, 2020 | 0.87 |
| Mar 31, 2020 | 0.67 |
| Dec 31, 2019 | 0.60 |
| Sep 30, 2019 | 0.52 |
| Jun 30, 2019 | 0.54 |
| Mar 31, 2019 | 0.55 |
API Access
Re Payout Ratio 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=payout-ratio&ticker=RMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payout-ratio", "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=payout-ratio&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();