Rmr (RMR) Operating Expenses (2014 - 2026)
Rmr's Operating Expenses came in at $162.79 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.5% from $144.76 million a year earlier and up 17.5% from the prior quarter.
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Analysis
Rmr (RMR) Operating Expenses (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Rmr reported Operating Expenses of $598.26 million, down 16.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $658.5 million, down 22.8% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $852.63 million in FY2024 (+0.5%), $848.59 million in FY2023 (+14.0%), $744.13 million in FY2022 (+39.1%) and $535.15 million in FY2021 (+2.8%).
- The fiscal Q3 2026 figure represents the highest quarterly Operating Expenses since fiscal Q1 2025.
- Year-over-year, Operating Expenses increased in 1 of the last eight quarters, with an average decline of 15.5%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2022 (growth of 52.9%), and the weakest in fiscal Q1 2026 (a decline of 28.0%).
- Business Quant data shows RMR's Operating Expenses at $138.59 million (Q2 2026), $148.34 million (Q1 2026) and $148.55 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 38.10 Bn | 18.80 Bn | 1.03 Bn | -587.69 Mn |
| 2 | Cbre | 37.79 Bn | 31.56 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.45 Bn | 12.66 Bn | - | 6.64 Bn |
| 4 | Compass | 6.85 Bn | 5.32 Bn | - | 4.18 Bn |
| 5 | Colliers International | 4.59 Bn | 3.67 Bn | 635.11 Mn | 485.10 Mn |
| 6 | Cushman & Wakefield | 2.78 Bn | 264.20 Mn | 512.00 Mn | 2.63 Bn |
| 7 | Newmark | 1.99 Bn | 1.37 Bn | - | 848.02 Mn |
| 8 | Marcus & Millichap | 1.10 Bn | 194.81 Mn | - | 200.70 Mn |
| 9 | Rmr | 593.80 Mn | 518.26 Mn | - | 162.79 Mn |
| 10 | Agnt | 586.58 Mn | 116.27 Mn | 98.80 Mn | 97.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.79 Mn |
| Mar 31, 2026 | 138.59 Mn |
| Dec 31, 2025 | 148.34 Mn |
| Sep 30, 2025 | 148.55 Mn |
| Jun 30, 2025 | 144.76 Mn |
| Mar 31, 2025 | 159.11 Mn |
| Dec 31, 2024 | 206.09 Mn |
| Sep 30, 2024 | 202.32 Mn |
| Jun 30, 2024 | 193.42 Mn |
| Mar 31, 2024 | 205.82 Mn |
| Dec 31, 2023 | 251.08 Mn |
| Sep 30, 2023 | 208.15 Mn |
| Jun 30, 2023 | 219.34 Mn |
| Mar 31, 2023 | 190.63 Mn |
| Dec 31, 2022 | 230.47 Mn |
| Sep 30, 2022 | 220.87 Mn |
| Jun 30, 2022 | 185.67 Mn |
| Mar 31, 2022 | 176.12 Mn |
| Dec 31, 2021 | 161.48 Mn |
| Sep 30, 2021 | 152.36 Mn |
API Access
Rmr Operating 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=operating-expenses&ticker=RMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();