Marcus & Millichap (MMI) Total Non-Current Liabilities (2018 - 2026)
Marcus & Millichap's Total Non-Current Liabilities came in at $156.4 million for Q2 2026, down 1.1% from $158.12 million a year earlier and down 0.1% from the prior quarter.
Marcus & Millichap (MMI) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Marcus & Millichap's Total Non-Current Liabilities was $188.66 million, down 8.3% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $205.73 million in FY2024 (+11.0%), $185.37 million in FY2023 (-17.9%), $225.74 million in FY2022 (-23.6%) and $295.36 million in FY2021 (+52.6%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q3 2020.
- Year-over-year, Total Non-Current Liabilities has declined for six consecutive quarters, with an average decline of 2.4% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2022 (growth of 61.3%), and the weakest in Q1 2023 (a decline of 25.2%).
- Business Quant data shows MMI's Total Non-Current Liabilities at $156.54 million (Q1 2026), $188.66 million (Q4 2025) and $180.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current 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 | 20.11 Bn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 9.08 Bn |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | 5.20 Bn |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 4.22 Bn |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | 5.27 Bn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | 3.21 Bn |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 156.40 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | Rmr | 580.01 Mn | 504.47 Mn | - | 303.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 156.40 Mn |
| Mar 31, 2026 | 156.54 Mn |
| Dec 31, 2025 | 188.66 Mn |
| Sep 30, 2025 | 180.46 Mn |
| Jun 30, 2025 | 158.12 Mn |
| Mar 31, 2025 | 158.31 Mn |
| Dec 31, 2024 | 205.73 Mn |
| Sep 30, 2024 | 187.41 Mn |
| Jun 30, 2024 | 170.57 Mn |
| Mar 31, 2024 | 173.79 Mn |
| Dec 31, 2023 | 185.37 Mn |
| Sep 30, 2023 | 187.61 Mn |
| Jun 30, 2023 | 178.30 Mn |
| Mar 31, 2023 | 193.91 Mn |
| Dec 31, 2022 | 225.74 Mn |
| Sep 30, 2022 | 220.10 Mn |
| Jun 30, 2022 | 201.50 Mn |
| Mar 31, 2022 | 259.17 Mn |
| Dec 31, 2021 | 295.36 Mn |
| Sep 30, 2021 | 204.17 Mn |
Marcus & Millichap Total Non-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-non-current-liabilities&ticker=MMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MMI", "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-non-current-liabilities&ticker=MMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();