Marcus & Millichap (MMI) Gross Margin (2012 - 2019)
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.
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Analysis
Marcus & Millichap (MMI) Gross Margin (2012 - 2019) 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 39.37 Bn | 32.67 Bn | 2.13 Bn | 18.45% |
| 2 | KE Holdings | 20.10 Bn | -9.36 Bn | - | - |
| 3 | Jones Lang Lasalle | 17.12 Bn | 15.11 Bn | - | - |
| 4 | Compass | 7.90 Bn | 6.35 Bn | - | - |
| 5 | Colliers International | 4.78 Bn | 3.93 Bn | - | - |
| 6 | Cushman & Wakefield | 3.30 Bn | 929.10 Mn | 486.30 Mn | 17.32% |
| 7 | Newmark | 2.11 Bn | 1.18 Bn | - | - |
| 8 | Marcus & Millichap | 987.28 Mn | 84.22 Mn | - | - |
| 9 | Agnt | 526.15 Mn | 57.18 Mn | 90.97 Mn | 6.53% |
| 10 | Rmr | 257.24 Mn | 7.32 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 39.00% |
| Mar 31, 2019 | 42.95% |
| Dec 31, 2018 | 35.53% |
| Sep 30, 2018 | 36.89% |
| Jun 30, 2018 | 39.89% |
| Mar 31, 2018 | 41.76% |
| Dec 31, 2017 | 35.04% |
| Sep 30, 2017 | 37.38% |
| Jun 30, 2017 | 38.81% |
| Mar 31, 2017 | 41.49% |
| Dec 31, 2016 | 35.70% |
| Sep 30, 2016 | 36.97% |
| Jun 30, 2016 | 38.31% |
| Mar 31, 2016 | 41.47% |
| Dec 31, 2015 | 36.18% |
| Sep 30, 2015 | 38.50% |
| Jun 30, 2015 | 39.15% |
| Mar 31, 2015 | 41.21% |
| Dec 31, 2014 | 36.31% |
| Sep 30, 2014 | 38.85% |
API Access
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_KEYimport 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();