Re (RMAX) EBITDA (2012 - 2026)
Re (RMAX) reported EBITDA of $7.39 million for Q2 2026, down 64.2% from $20.65 million a year earlier.
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Analysis
Re (RMAX) EBITDA (2012 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Re's EBITDA came in at $45.73 million, down 31.1% year-over-year; for FY2025, it came in at $72.89 million, up 4.5% from FY2024.
- EBITDA has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- By year, EBITDA came in at $69.74 million in FY2024 (+220.3%), $21.78 million in FY2023 (-70.6%), $73.98 million in FY2022 (+245.7%) and $21.4 million in FY2021 (-66.9%).
- Five-year quarterly EBITDA spans a low of -$28.99 million in Q3 2021 and a high of $26.02 million in Q2 2022.
- Year over year, EBITDA gained in two of the last five quarters, with an average decline of 6.6%.
- The high point for year-over-year EBITDA in five years was Q1 2022 (growth of 58.4%); the low point was Q2 2026 (a decline of 64.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$1.95 million (Q1 2026), $15.53 million (Q4 2025) and $24.76 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn | 605.00 Mn |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - | 402.90 Mn |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - | 277.00 Mn |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn | 72.52 Mn |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn | 162.70 Mn |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - | 124.65 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - | 4.56 Mn |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn | 3.89 Mn |
| 10 | Re | 263.49 Mn | -673.06 Mn | - | 7.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.39 Mn |
| Mar 31, 2026 | -1.95 Mn |
| Dec 31, 2025 | 15.53 Mn |
| Sep 30, 2025 | 24.76 Mn |
| Jun 30, 2025 | 20.65 Mn |
| Mar 31, 2025 | 11.96 Mn |
| Dec 31, 2024 | 11.34 Mn |
| Sep 30, 2024 | 22.45 Mn |
| Jun 30, 2024 | 23.58 Mn |
| Mar 31, 2024 | 12.38 Mn |
| Dec 31, 2023 | -1.52 Mn |
| Sep 30, 2023 | -12.80 Mn |
| Jun 30, 2023 | 21.16 Mn |
| Mar 31, 2023 | 14.94 Mn |
| Dec 31, 2022 | 17.38 Mn |
| Sep 30, 2022 | 13.99 Mn |
| Jun 30, 2022 | 26.02 Mn |
| Mar 31, 2022 | 16.59 Mn |
| Dec 31, 2021 | 19.53 Mn |
| Sep 30, 2021 | -28.99 Mn |
API Access
Re EBITDA 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=ebitda&ticker=RMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();