Rmr (RMR) Total Liabilities (2015 - 2026)
Rmr (RMR) reported Total Liabilities of $315.01 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 32.0% from $238.69 million a year earlier and up 12.4% from the prior quarter.
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Analysis
Rmr (RMR) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Rmr posted Total Liabilities of $316.23 million, up 12.5% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 16.2% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $281.08 million in FY2024 (+77.0%), $158.76 million in FY2023 (-8.1%), $172.67 million in FY2022 (+15.0%) and $150.2 million in FY2021 (+0.6%).
- Five-year quarterly Total Liabilities spans a low of $150.2 million in fiscal Q4 2021 and a high of $316.23 million in fiscal Q4 2025.
- Year over year, Total Liabilities has now increased in each of the last nine quarters, with growth averaging 31.9% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2024 (growth of 77.0%); the low point was fiscal Q2 2024 (a decline of 18.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $280.18 million (Q2 2026), $272.28 million (Q1 2026) and $316.23 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 21.75 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 9.86 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 5.35 Bn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 4.29 Bn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 5.53 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 3.46 Bn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 186.88 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 258.32 Mn |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 315.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 315.01 Mn |
| Mar 31, 2026 | 280.18 Mn |
| Dec 31, 2025 | 272.28 Mn |
| Sep 30, 2025 | 316.23 Mn |
| Jun 30, 2025 | 238.69 Mn |
| Mar 31, 2025 | 234.82 Mn |
| Dec 31, 2024 | 270.99 Mn |
| Sep 30, 2024 | 281.08 Mn |
| Jun 30, 2024 | 180.64 Mn |
| Mar 31, 2024 | 159.54 Mn |
| Dec 31, 2023 | 200.81 Mn |
| Sep 30, 2023 | 158.76 Mn |
| Jun 30, 2023 | 176.02 Mn |
| Mar 31, 2023 | 196.64 Mn |
| Dec 31, 2022 | 195.25 Mn |
| Sep 30, 2022 | 172.67 Mn |
| Jun 30, 2022 | 174.03 Mn |
| Mar 31, 2022 | 174.01 Mn |
| Dec 31, 2021 | 168.53 Mn |
| Sep 30, 2021 | 150.20 Mn |
API Access
Rmr Total Liabilities 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=total-liabilities&ticker=RMR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();