Re (RMAX) Gains from Sales and Divestitures (2014 - 2024)
Re's Gains from Sales and Divestitures came in at -$30,000 for Q4 2024, compared with -$20,000 a year earlier.
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Analysis
Re (RMAX) Gains from Sales and Divestitures (2014 - 2024) Analysis & Trends
For FY2024, Re's Gains from Sales and Divestitures was -$190,000.
- Going back by year, Gains from Sales and Divestitures was -$406,000 in FY2023, -$1.32 million in FY2022, $6,000 in FY2021 and -$601,000 in FY2020.
- The Q4 2024 figure represents the lowest quarterly Gains from Sales and Divestitures since Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn |
| 10 | Re | 263.49 Mn | -673.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -30,000.00 |
| Sep 30, 2024 | -10,000.00 |
| Dec 31, 2023 | -20,000.00 |
| Sep 30, 2023 | -21,000.00 |
| Jun 30, 2023 | -187,000.00 |
| Mar 31, 2023 | -178,000.00 |
| Dec 31, 2022 | -6,000.00 |
| Sep 30, 2022 | -1.20 Mn |
| Jun 30, 2022 | -109,000.00 |
| Mar 31, 2022 | -6,000.00 |
| Dec 31, 2021 | -4,000.00 |
| Dec 31, 2019 | 11,000.00 |
| Sep 30, 2019 | 10,000.00 |
| Jun 30, 2019 | 16,000.00 |
| Mar 31, 2019 | -379,000.00 |
| Dec 31, 2018 | -7,000.00 |
| Sep 30, 2018 | 5,000.00 |
| Jun 30, 2018 | 113,000.00 |
| Mar 31, 2018 | 28,000.00 |
| Dec 31, 2017 | -401,000.00 |
API Access
Re Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=RMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();