Rmr (RMR) Retained Earnings (2015 - 2026)
Rmr (RMR) posted Retained Earnings of $470.22 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.4% from $450.41 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Rmr (RMR) Retained Earnings (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Rmr's Retained Earnings came in at $453.82 million, up 4.0% from FY2024.
- Annual Retained Earnings has increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- In prior fiscal years, Rmr's Retained Earnings was $436.23 million in FY2024 (+5.6%), $413.1 million in FY2023 (+16.1%), $355.95 million in FY2022 (+10.6%) and $321.95 million in FY2021 (+12.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly Retained Earnings in data going back to fiscal Q4 2015.
- On a year-over-year basis, Retained Earnings has increased in each of the last 40 quarters, with growth averaging 4.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Retained Earnings ran from 4.0% in fiscal Q4 2025 to 17.9% in fiscal Q3 2023.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $467.02 million (Q2 2026), $466.01 million (Q1 2026) and $453.82 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | - |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 9.78 Bn |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | 7.76 Bn |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | -2.56 Bn |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | -94.68 Mn |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | -805.50 Mn |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 1.37 Bn |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | 367.70 Mn |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | 470.22 Mn |
| 10 | Agnt | 476.02 Mn | 7.06 Mn | 90.97 Mn | -158.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 470.22 Mn |
| Mar 31, 2026 | 467.02 Mn |
| Dec 31, 2025 | 466.01 Mn |
| Sep 30, 2025 | 453.82 Mn |
| Jun 30, 2025 | 450.41 Mn |
| Mar 31, 2025 | 446.22 Mn |
| Dec 31, 2024 | 442.61 Mn |
| Sep 30, 2024 | 436.23 Mn |
| Jun 30, 2024 | 430.89 Mn |
| Mar 31, 2024 | 425.96 Mn |
| Dec 31, 2023 | 420.09 Mn |
| Sep 30, 2023 | 413.10 Mn |
| Jun 30, 2023 | 405.40 Mn |
| Mar 31, 2023 | 380.76 Mn |
| Dec 31, 2022 | 362.29 Mn |
| Sep 30, 2022 | 355.95 Mn |
| Jun 30, 2022 | 343.95 Mn |
| Mar 31, 2022 | 336.38 Mn |
| Dec 31, 2021 | 329.99 Mn |
| Sep 30, 2021 | 321.95 Mn |
API Access
Rmr Retained Earnings 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=retained-earnings&ticker=RMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=RMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();