Marcus & Millichap (MMI) Cost of Revenue (2012 - 2019)
Marcus & Millichap's Cost of Revenue was $127.85 million in Q2 2019, up 6.7% from $119.87 million a year earlier and up 39.4% from the prior quarter.
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Analysis
Marcus & Millichap (MMI) Cost of Revenue (2012 - 2019) Analysis & Trends
On a trailing twelve-month basis, Marcus & Millichap's Cost of Revenue was $500.9 million through Jun 30, 2019, up 7.0% year-over-year; for FY2018, it was $502.88 million, up 12.6% from FY2017.
- Cost of Revenue has now increased for seven consecutive years, with a five-year compound annual growth rate of 13.7% (FY2013 to FY2018).
- In earlier years, Cost of Revenue was $446.56 million in FY2017 (+0.4%), $444.77 million in FY2016 (+5.0%), $423.39 million in FY2015 (+20.9%) and $350.1 million in FY2014 (+32.3%).
- Quarterly Cost of Revenue has moved between $86.16 million (Q1 2015) and $148.47 million (Q4 2018) over five years.
- Compared with a year earlier, Cost of Revenue was higher in seven of the last eight quarters, with growth averaging 7.1%.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2014 (growth of 36.3%); the worst was Q1 2019 (a decline of 9.8%).
- Per Business Quant data, MMI's Cost of Revenue in the three quarters before Q2 2019 was $91.69 million (Q1 2019), $148.47 million (Q4 2018) and $132.9 million (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | 9.14 Bn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | 2.58 Bn |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | - |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | 937.39 Mn |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | 2.25 Bn |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | - |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | 1.35 Bn |
| 10 | Rmr | 568.78 Mn | 493.24 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 127.85 Mn |
| Mar 31, 2019 | 91.69 Mn |
| Dec 31, 2018 | 148.47 Mn |
| Sep 30, 2018 | 132.90 Mn |
| Jun 30, 2018 | 119.87 Mn |
| Mar 31, 2018 | 101.65 Mn |
| Dec 31, 2017 | 131.73 Mn |
| Sep 30, 2017 | 114.80 Mn |
| Jun 30, 2017 | 110.38 Mn |
| Mar 31, 2017 | 89.65 Mn |
| Dec 31, 2016 | 121.64 Mn |
| Sep 30, 2016 | 113.85 Mn |
| Jun 30, 2016 | 113.13 Mn |
| Mar 31, 2016 | 96.15 Mn |
| Dec 31, 2015 | 129.66 Mn |
| Sep 30, 2015 | 102.01 Mn |
| Jun 30, 2015 | 105.56 Mn |
| Mar 31, 2015 | 86.16 Mn |
| Dec 31, 2014 | 109.84 Mn |
| Sep 30, 2014 | 92.27 Mn |
API Access
Marcus & Millichap Cost of Revenue 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=cost-of-revenue&ticker=MMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();