Re (RMAX) Cash & Equivalents (2012 - 2026)
Re (RMAX) posted Cash & Equivalents of $112.4 million for Q2 2026, up 19.2% from $94.31 million a year earlier and up 4.9% from the prior quarter.
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Analysis
Re (RMAX) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2025, Re's Cash & Equivalents came in at $118.74 million, up 22.9% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In prior years, Re's Cash & Equivalents was $96.62 million in FY2024 (+16.9%), $82.62 million in FY2023 (-24.0%), $108.66 million in FY2022 (-13.9%) and $126.27 million in FY2021 (+24.6%).
- Quarterly Cash & Equivalents has run from a low of $66.06 million in Q2 2024 to a high of $126.27 million in Q4 2021 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last seven quarters, with growth averaging 19.0% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2025, with growth of 42.8%; the weakest was Q2 2024, with a decline of 31.7%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $107.13 million (Q1 2026), $118.74 million (Q4 2025) and $107.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.83 Bn | 31.60 Bn | 2.09 Bn | 1.49 Bn |
| 2 | KE Holdings | 37.44 Bn | 18.15 Bn | 1.03 Bn | 1.08 Bn |
| 3 | Jones Lang Lasalle | 14.17 Bn | 12.38 Bn | - | 458.20 Mn |
| 4 | Compass | 6.87 Bn | 5.33 Bn | - | 694.00 Mn |
| 5 | Colliers International | 4.67 Bn | 3.75 Bn | 635.11 Mn | 265.19 Mn |
| 6 | Cushman & Wakefield | 2.83 Bn | 308.75 Mn | 512.00 Mn | 500.50 Mn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | 259.70 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 193.30 Mn | - | 153.52 Mn |
| 9 | Agnt | 594.94 Mn | 124.62 Mn | 98.80 Mn | 111.16 Mn |
| 10 | Re | 263.49 Mn | -673.06 Mn | - | 112.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.40 Mn |
| Mar 31, 2026 | 107.13 Mn |
| Dec 31, 2025 | 118.74 Mn |
| Sep 30, 2025 | 107.48 Mn |
| Jun 30, 2025 | 94.31 Mn |
| Mar 31, 2025 | 89.11 Mn |
| Dec 31, 2024 | 96.62 Mn |
| Sep 30, 2024 | 83.78 Mn |
| Jun 30, 2024 | 66.06 Mn |
| Mar 31, 2024 | 82.08 Mn |
| Dec 31, 2023 | 82.62 Mn |
| Sep 30, 2023 | 89.82 Mn |
| Jun 30, 2023 | 96.76 Mn |
| Mar 31, 2023 | 96.75 Mn |
| Dec 31, 2022 | 108.66 Mn |
| Sep 30, 2022 | 117.90 Mn |
| Jun 30, 2022 | 118.13 Mn |
| Mar 31, 2022 | 118.50 Mn |
| Dec 31, 2021 | 126.27 Mn |
| Sep 30, 2021 | 119.45 Mn |
API Access
Re Cash & Equivalents 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=cash-and-equivalents&ticker=RMAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();