Re (RMAX) Revenue (2012 - 2026)
Re (RMAX) posted Revenue of $68.51 million for Q2 2026, down 5.8% from $72.75 million a year earlier and down 2.4% from the prior quarter.
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Analysis
Re (RMAX) Revenue (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Re was $283.12 million, down 5.0% year-over-year; for FY2025, it was $291.6 million, down 5.2% from FY2024.
- Annual Revenue has declined for three consecutive years, though with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- In prior years, Re's Revenue was $307.69 million in FY2024 (-5.5%), $325.67 million in FY2023 (-7.8%), $353.39 million in FY2022 (+7.2%) and $329.7 million in FY2021 (+23.9%).
- The Q2 2026 figure stands as the lowest quarterly Revenue since Q2 2020.
- On a year-over-year basis, Revenue has declined in each of the last 16 quarters, with an average decline of 5.1% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2021, with growth of 28.0%; the weakest was Q2 2023, with a decline of 10.6%.
- According to Business Quant data, Revenue for the three prior quarters was $70.23 million (Q1 2026), $71.14 million (Q4 2025) and $73.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn | 11.23 Bn |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn | 3.62 Bn |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - | 6.93 Bn |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - | 4.31 Bn |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn | 1.57 Bn |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn | 2.76 Bn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - | 888.42 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - | 202.92 Mn |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn | 1.45 Bn |
| 10 | Re | 263.49 Mn | -673.06 Mn | - | 68.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.51 Mn |
| Mar 31, 2026 | 70.23 Mn |
| Dec 31, 2025 | 71.14 Mn |
| Sep 30, 2025 | 73.25 Mn |
| Jun 30, 2025 | 72.75 Mn |
| Mar 31, 2025 | 74.47 Mn |
| Dec 31, 2024 | 72.47 Mn |
| Sep 30, 2024 | 78.48 Mn |
| Jun 30, 2024 | 78.45 Mn |
| Mar 31, 2024 | 78.29 Mn |
| Dec 31, 2023 | 76.60 Mn |
| Sep 30, 2023 | 81.22 Mn |
| Jun 30, 2023 | 82.45 Mn |
| Mar 31, 2023 | 85.40 Mn |
| Dec 31, 2022 | 81.27 Mn |
| Sep 30, 2022 | 88.94 Mn |
| Jun 30, 2022 | 92.17 Mn |
| Mar 31, 2022 | 91.00 Mn |
| Dec 31, 2021 | 89.16 Mn |
| Sep 30, 2021 | 91.00 Mn |
API Access
Re Revenue 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=revenue&ticker=RMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();