Marcus & Millichap (MMI) Gross Margin (2012 - 2026)
Marcus & Millichap's Gross Margin came in at 39.00% for Q2 2019, down 0.88 percentage points from 39.89% a year earlier and down 3.94 percentage points from the prior quarter.
Marcus & Millichap (MMI) Gross Margin (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2019, Marcus & Millichap reported Gross Margin of 38.25%, down 0.17 percentage points year-over-year; for FY2018, it was 38.28%, up 0.33 percentage points from FY2017.
- Gross Margin carries a five-year change of -1.01 percentage points (FY2013 to FY2018).
- Going back by year, Gross Margin was 37.95% in FY2017 (-0.05 pp), 38.01% in FY2016 (-0.55 pp), 38.56% in FY2015 (-0.26 pp) and 38.81% in FY2014 (-0.48 pp).
- The five-year range for quarterly Gross Margin is 35.04% (Q4 2017) to 42.95% (Q1 2019).
- Year-over-year, Gross Margin increased in five of the last eight quarters, with an average year-over-year change of +0.18 percentage points.
- The fastest year-over-year change in Gross Margin over five years came in Q1 2019 (a gain of 1.18 percentage points), and the weakest in Q2 2015 (a drop of 1.56 percentage points).
- Business Quant data shows MMI's Gross Margin at 42.95% (Q1 2019), 35.53% (Q4 2018) and 36.89% (Q3 2018) in the three quarters before Q2 2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 40.70 Bn | 13.61 Bn | 1.03 Bn | 28.58% |
| 2 | Cbre | 38.87 Bn | 32.63 Bn | 2.13 Bn | 18.45% |
| 3 | Jones Lang Lasalle | 17.10 Bn | 15.24 Bn | - | - |
| 4 | Compass | 7.63 Bn | 5.42 Bn | - | - |
| 5 | Colliers International | 4.71 Bn | 3.76 Bn | 637.29 Mn | 38.92% |
| 6 | Cushman & Wakefield | 3.26 Bn | 888.95 Mn | 486.30 Mn | 17.32% |
| 7 | Newmark | 1.79 Bn | 649.67 Mn | 596.85 Mn | 61.33% |
| 8 | Marcus & Millichap | 934.37 Mn | 31.72 Mn | 74.92 Mn | 35.95% |
| 9 | Rmr | 505.91 Mn | 430.36 Mn | - | - |
| 10 | Agnt | 476.02 Mn | 7.06 Mn | 90.97 Mn | 6.53% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.95% |
| Jun 30, 2026 | 37.58% |
| Mar 31, 2026 | 39.56% |
| Dec 31, 2025 | 36.66% |
| Sep 30, 2025 | 37.60% |
| Jun 30, 2025 | 38.11% |
| Mar 31, 2025 | 39.09% |
| Dec 31, 2024 | 36.78% |
| Sep 30, 2024 | 37.84% |
| Jun 30, 2024 | 38.07% |
| Mar 31, 2024 | 40.46% |
| Dec 31, 2023 | 36.58% |
| Sep 30, 2023 | 35.43% |
| Jun 30, 2023 | 37.89% |
| Mar 31, 2023 | 38.35% |
| Dec 31, 2022 | 31.14% |
| Sep 30, 2022 | 32.88% |
| Jun 30, 2022 | 35.34% |
| Mar 31, 2022 | 38.41% |
| Dec 31, 2021 | 32.68% |
Marcus & Millichap Gross Margin 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=gross-margin&ticker=MMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=MMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();