Re (RMAX) Selling, General & Administrative (2012 - 2026)
Re's Selling, General & Administrative was $32.88 million in Q2 2026, down 3.0% from $33.89 million a year earlier and down 29.8% from the prior quarter.
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Analysis
Re (RMAX) Selling, General & Administrative (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Re's Selling, General & Administrative was $149.48 million through Jun 30, 2026, up 0.6% year-over-year; for FY2025, it came in at $146.7 million, down 3.6% from FY2024.
- Selling, General & Administrative has now declined for four consecutive years, though with a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $152.26 million in FY2024 (-11.2%), $171.55 million in FY2023 (-1.4%), $173.98 million in FY2022 (-3.1%) and $179.49 million in FY2021 (+39.1%).
- Quarterly Selling, General & Administrative has moved between $32.45 million (Q3 2025) and $51.1 million (Q3 2021) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in two of the last eight quarters, with an average decline of 4.2%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2021 (growth of 81.1%); the worst was Q4 2022 (a decline of 22.3%).
- Per Business Quant data, RMAX's Selling, General & Administrative in the three quarters before Q2 2026 was $46.81 million (Q1 2026), $37.33 million (Q4 2025) and $32.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.83 Bn | 31.60 Bn | 2.09 Bn | - |
| 2 | KE Holdings | 37.44 Bn | 18.15 Bn | 1.03 Bn | -300.18 Mn |
| 3 | Jones Lang Lasalle | 14.17 Bn | 12.38 Bn | - | - |
| 4 | Compass | 6.87 Bn | 5.33 Bn | - | 93.00 Mn |
| 5 | Colliers International | 4.67 Bn | 3.75 Bn | 635.11 Mn | 436.75 Mn |
| 6 | Cushman & Wakefield | 2.83 Bn | 308.75 Mn | 512.00 Mn | 349.30 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 186.14 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 193.30 Mn | - | 71.69 Mn |
| 9 | Agnt | 594.94 Mn | 124.62 Mn | 98.80 Mn | 71.58 Mn |
| 10 | Re | 263.49 Mn | -673.06 Mn | - | 32.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.88 Mn |
| Mar 31, 2026 | 46.81 Mn |
| Dec 31, 2025 | 37.33 Mn |
| Sep 30, 2025 | 32.45 Mn |
| Jun 30, 2025 | 33.89 Mn |
| Mar 31, 2025 | 43.03 Mn |
| Dec 31, 2024 | 35.77 Mn |
| Sep 30, 2024 | 35.93 Mn |
| Jun 30, 2024 | 34.85 Mn |
| Mar 31, 2024 | 45.71 Mn |
| Dec 31, 2023 | 39.13 Mn |
| Sep 30, 2023 | 43.09 Mn |
| Jun 30, 2023 | 40.21 Mn |
| Mar 31, 2023 | 49.12 Mn |
| Dec 31, 2022 | 35.67 Mn |
| Sep 30, 2022 | 49.70 Mn |
| Jun 30, 2022 | 40.78 Mn |
| Mar 31, 2022 | 47.83 Mn |
| Dec 31, 2021 | 45.90 Mn |
| Sep 30, 2021 | 51.10 Mn |
API Access
Re Selling, General & Administrative 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=selling-general-and-administrative&ticker=RMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();