Rmr (RMR) Cash & Equivalents (2014 - 2026)
Rmr (RMR) posted Cash & Equivalents of $58.2 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 52.0% from $121.28 million a year earlier and down 27.3% from the prior quarter.
Rmr (RMR) Cash & Equivalents (2014 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Rmr's Cash & Equivalents came in at $62.3 million, down 56.0% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -30.0% (FY2020 to FY2025).
- In prior fiscal years, Rmr's Cash & Equivalents was $141.6 million in FY2024 (-47.2%), $267.99 million in FY2023 (+41.7%), $189.09 million in FY2022 (+18.3%) and $159.84 million in FY2021 (-56.8%).
- Quarterly Cash & Equivalents has run from a low of $49.32 million in fiscal Q1 2026 to a high of $295.42 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last ten quarters, with an average decline of 45.1% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q3 2023, with growth of 50.8%; the weakest was fiscal Q1 2026, with a decline of 66.6%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $80.1 million (Q2 2026), $49.32 million (Q1 2026) and $62.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 40.04 Bn | 33.34 Bn | 2.13 Bn | 1.68 Bn |
| 2 | KE Holdings | 20.34 Bn | -6.84 Bn | 1.03 Bn | 1.09 Bn |
| 3 | Jones Lang Lasalle | 17.40 Bn | 15.39 Bn | - | 514.30 Mn |
| 4 | Compass | 8.16 Bn | 6.61 Bn | - | 694.00 Mn |
| 5 | Colliers International | 4.85 Bn | 3.90 Bn | 637.29 Mn | 239.26 Mn |
| 6 | Cushman & Wakefield | 3.44 Bn | 1.06 Bn | 486.30 Mn | 489.00 Mn |
| 7 | Newmark | 2.16 Bn | 1.23 Bn | - | 259.70 Mn |
| 8 | Marcus & Millichap | 1.00 Bn | 98.21 Mn | - | 153.52 Mn |
| 9 | Agnt | 533.70 Mn | 64.74 Mn | 90.97 Mn | 111.41 Mn |
| 10 | Rmr | 264.79 Mn | 14.88 Mn | - | 58.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.20 Mn |
| Mar 31, 2026 | 80.10 Mn |
| Dec 31, 2025 | 49.32 Mn |
| Sep 30, 2025 | 62.30 Mn |
| Jun 30, 2025 | 121.28 Mn |
| Mar 31, 2025 | 137.19 Mn |
| Dec 31, 2024 | 147.58 Mn |
| Sep 30, 2024 | 141.60 Mn |
| Jun 30, 2024 | 207.98 Mn |
| Mar 31, 2024 | 192.11 Mn |
| Dec 31, 2023 | 202.43 Mn |
| Sep 30, 2023 | 267.99 Mn |
| Jun 30, 2023 | 295.42 Mn |
| Mar 31, 2023 | 197.98 Mn |
| Dec 31, 2022 | 200.97 Mn |
| Sep 30, 2022 | 189.09 Mn |
| Jun 30, 2022 | 195.94 Mn |
| Mar 31, 2022 | 181.74 Mn |
| Dec 31, 2021 | 181.89 Mn |
| Sep 30, 2021 | 159.84 Mn |
Rmr 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=RMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "RMR", "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=RMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();