Marcus & Millichap (MMI) Total Liabilities (2018 - 2026)
Marcus & Millichap (MMI) recorded Total Liabilities of $186.88 million in Q2 2026, up 1.3% from $184.43 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Marcus & Millichap (MMI) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Marcus & Millichap reported Total Liabilities of $224.08 million, down 6.2% from FY2024.
- Annual Total Liabilities has a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $238.98 million in FY2024 (+2.5%), $233.14 million in FY2023 (-19.7%), $290.2 million in FY2022 (-16.8%) and $348.89 million in FY2021 (+50.2%).
- Quarterly Total Liabilities has ranged from $184.43 million in Q2 2025 to $348.89 million in Q4 2021 over the past five years.
- On a year-over-year basis, Total Liabilities rose in three of the last eight quarters, with an average decline of 3.4%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 60.9% in Q1 2022, against a decline of 25.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $185.91 million (Q1 2026), $224.08 million (Q4 2025) and $210.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.37 Bn | 32.67 Bn | 2.13 Bn | 22.31 Bn |
| 2 | KE Holdings | 20.10 Bn | -9.36 Bn | - | 7.17 Bn |
| 3 | Jones Lang Lasalle | 17.12 Bn | 15.11 Bn | - | 10.43 Bn |
| 4 | Compass | 7.90 Bn | 6.35 Bn | - | 5.35 Bn |
| 5 | Colliers International | 4.78 Bn | 3.93 Bn | - | 5.25 Bn |
| 6 | Cushman & Wakefield | 3.30 Bn | 929.10 Mn | 486.30 Mn | 5.64 Bn |
| 7 | Newmark | 2.11 Bn | 1.18 Bn | - | 3.46 Bn |
| 8 | Marcus & Millichap | 987.28 Mn | 84.22 Mn | - | 186.88 Mn |
| 9 | Agnt | 526.15 Mn | 57.18 Mn | 90.97 Mn | 204.38 Mn |
| 10 | Rmr | 257.24 Mn | 7.32 Mn | - | 315.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 186.88 Mn |
| Mar 31, 2026 | 185.91 Mn |
| Dec 31, 2025 | 224.08 Mn |
| Sep 30, 2025 | 210.25 Mn |
| Jun 30, 2025 | 184.43 Mn |
| Mar 31, 2025 | 184.47 Mn |
| Dec 31, 2024 | 238.98 Mn |
| Sep 30, 2024 | 215.99 Mn |
| Jun 30, 2024 | 198.76 Mn |
| Mar 31, 2024 | 201.10 Mn |
| Dec 31, 2023 | 233.14 Mn |
| Sep 30, 2023 | 232.76 Mn |
| Jun 30, 2023 | 219.59 Mn |
| Mar 31, 2023 | 228.33 Mn |
| Dec 31, 2022 | 290.20 Mn |
| Sep 30, 2022 | 275.93 Mn |
| Jun 30, 2022 | 249.59 Mn |
| Mar 31, 2022 | 304.77 Mn |
| Dec 31, 2021 | 348.89 Mn |
| Sep 30, 2021 | 242.81 Mn |
API Access
Marcus & Millichap 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=MMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=MMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();