Rmr (RMR) Total Current Liabilities (2015 - 2026)
Rmr (RMR) reported Total Current Liabilities of $109.86 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.7% from $97.45 million a year earlier and up 7.3% from the prior quarter.
Rmr (RMR) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Rmr posted Total Current Liabilities of $117.82 million, down 11.7% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- By fiscal year, Total Current Liabilities came in at $133.44 million in FY2024 (+26.4%), $105.57 million in FY2023 (-3.3%), $109.18 million in FY2022 (+34.6%) and $81.14 million in FY2021 (-0.8%).
- Five-year quarterly Total Current Liabilities spans a low of $81.14 million in fiscal Q4 2021 and a high of $133.44 million in fiscal Q4 2024.
- Year over year, Total Current Liabilities gained in five of the last eight quarters, with growth averaging 0.2%.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q1 2023 (growth of 41.6%); the low point was fiscal Q1 2026 (a decline of 28.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $102.36 million (Q2 2026), $94.32 million (Q1 2026) and $117.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.21 Bn | 32.52 Bn | 2.09 Bn | 11.32 Bn |
| 2 | KE Holdings | 20.01 Bn | -7.18 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.29 Bn | 12.37 Bn | - | 6.95 Bn |
| 4 | Compass | 7.20 Bn | 5.65 Bn | - | 1.30 Bn |
| 5 | Colliers International | 4.73 Bn | 3.80 Bn | 635.11 Mn | 1.77 Bn |
| 6 | Cushman & Wakefield | 2.70 Bn | 179.42 Mn | 512.00 Mn | 2.44 Bn |
| 7 | Newmark | 2.08 Bn | 1.15 Bn | - | 1.92 Bn |
| 8 | Marcus & Millichap | 1.06 Bn | 156.09 Mn | - | 92.83 Mn |
| 9 | Agnt | 677.11 Mn | 206.79 Mn | 98.80 Mn | 258.32 Mn |
| 10 | Rmr | 295.52 Mn | 45.60 Mn | - | 109.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.86 Mn |
| Mar 31, 2026 | 102.36 Mn |
| Dec 31, 2025 | 94.32 Mn |
| Sep 30, 2025 | 117.82 Mn |
| Jun 30, 2025 | 97.45 Mn |
| Mar 31, 2025 | 97.17 Mn |
| Dec 31, 2024 | 132.75 Mn |
| Sep 30, 2024 | 133.44 Mn |
| Jun 30, 2024 | 115.84 Mn |
| Mar 31, 2024 | 89.61 Mn |
| Dec 31, 2023 | 126.08 Mn |
| Sep 30, 2023 | 105.57 Mn |
| Jun 30, 2023 | 120.67 Mn |
| Mar 31, 2023 | 118.12 Mn |
| Dec 31, 2022 | 126.96 Mn |
| Sep 30, 2022 | 109.18 Mn |
| Jun 30, 2022 | 107.05 Mn |
| Mar 31, 2022 | 95.88 Mn |
| Dec 31, 2021 | 89.67 Mn |
| Sep 30, 2021 | 81.14 Mn |
Rmr Total Current 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-current-liabilities&ticker=RMR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=RMR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();