Re (RMAX) Accumulated Expenses (2012 - 2026)
Re's Accumulated Expenses was $112.69 million in Q2 2026, up 14.1% from $98.8 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Re (RMAX) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Re came in at $100.93 million, down 9.0% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $110.86 million in FY2024 (+3.2%), $107.43 million in FY2023 (+51.8%), $70.75 million in FY2022 (-26.9%) and $96.77 million in FY2021 (+41.1%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2012.
- Compared with a year earlier, Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 0.6%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2024 (growth of 101.1%); the worst was Q2 2023 (a decline of 34.0%).
- Per Business Quant data, RMAX's Accumulated Expenses in the three quarters before Q2 2026 was $106.66 million (Q1 2026), $100.93 million (Q4 2025) and $101.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn |
| 10 | Re | 263.49 Mn | -673.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.69 Mn |
| Mar 31, 2026 | 106.66 Mn |
| Dec 31, 2025 | 100.93 Mn |
| Sep 30, 2025 | 101.50 Mn |
| Jun 30, 2025 | 98.80 Mn |
| Mar 31, 2025 | 106.39 Mn |
| Dec 31, 2024 | 110.86 Mn |
| Sep 30, 2024 | 105.13 Mn |
| Jun 30, 2024 | 102.06 Mn |
| Mar 31, 2024 | 104.39 Mn |
| Dec 31, 2023 | 107.43 Mn |
| Sep 30, 2023 | 104.42 Mn |
| Jun 30, 2023 | 50.74 Mn |
| Mar 31, 2023 | 65.46 Mn |
| Dec 31, 2022 | 70.75 Mn |
| Sep 30, 2022 | 76.50 Mn |
| Jun 30, 2022 | 76.89 Mn |
| Mar 31, 2022 | 86.17 Mn |
| Dec 31, 2021 | 96.77 Mn |
| Sep 30, 2021 | 91.19 Mn |
API Access
Re Accumulated Expenses 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=accumulated-expenses&ticker=RMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();