Rmr (RMR) Other Accumulated Expenses (2019 - 2026)
Rmr's Other Accumulated Expenses came in at $48.89 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.7% from $46.68 million a year earlier but down 5.6% from the prior quarter.
Powered by 
Analysis
Rmr (RMR) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Rmr's Other Accumulated Expenses was $43.55 million, down 51.8% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- Going back by fiscal year, Other Accumulated Expenses was $90.44 million in FY2024 (+16.1%), $77.92 million in FY2023 (-2.9%), $80.22 million in FY2022 (+45.6%) and $55.12 million in FY2021 (-1.7%).
- The five-year range for quarterly Other Accumulated Expenses is $43.55 million (fiscal Q4 2025) to $90.44 million (fiscal Q4 2024).
- Year-over-year, Other Accumulated Expenses increased in four of the last eight quarters, with an average decline of 11.4%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q1 2023 (growth of 52.4%), and the weakest in fiscal Q4 2025 (a decline of 51.8%).
- Business Quant data shows RMR's Other Accumulated Expenses at $51.77 million (Q2 2026), $50.91 million (Q1 2026) and $43.55 million (Q4 2025) in the three fiscal quarters before Q3 2026.
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 | Rmr | 568.78 Mn | 493.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.89 Mn |
| Mar 31, 2026 | 51.77 Mn |
| Dec 31, 2025 | 50.91 Mn |
| Sep 30, 2025 | 43.55 Mn |
| Jun 30, 2025 | 46.68 Mn |
| Mar 31, 2025 | 53.15 Mn |
| Dec 31, 2024 | 79.38 Mn |
| Sep 30, 2024 | 90.44 Mn |
| Jun 30, 2024 | 64.62 Mn |
| Mar 31, 2024 | 51.10 Mn |
| Dec 31, 2023 | 77.71 Mn |
| Sep 30, 2023 | 77.92 Mn |
| Jun 30, 2023 | 74.26 Mn |
| Mar 31, 2023 | 80.82 Mn |
| Dec 31, 2022 | 87.21 Mn |
| Sep 30, 2022 | 80.22 Mn |
| Jun 30, 2022 | 67.32 Mn |
| Mar 31, 2022 | 64.90 Mn |
| Dec 31, 2021 | 57.24 Mn |
| Sep 30, 2021 | 55.12 Mn |
API Access
Rmr Other 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=other-accumulated-expenses&ticker=RMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=RMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();