Marsh & Mclennan Companies (MRSH) Sales of Property, Plant and Equipment (2009 - 2020)
Marsh & Mclennan Companies (MRSH) posted Sales of Property, Plant and Equipment of $3 million for Q4 2020, down 50.0% from $6 million a year earlier but up 50.0% from the prior quarter.
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Analysis
Marsh & Mclennan Companies (MRSH) Sales of Property, Plant and Equipment (2009 - 2020) Analysis & Trends
For FY2020, Marsh & Mclennan Companies' Sales of Property, Plant and Equipment came in at $6 million, down 40.0% from FY2019.
- Annual Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of 24.6% (FY2015 to FY2020).
- In prior years, Marsh & Mclennan Companies' Sales of Property, Plant and Equipment was $10 million in FY2019 (+233.3%), $3 million in FY2018 (-62.5%), $8 million in FY2017 (+100.0%) and $4 million in FY2016 (+100.0%).
- Quarterly Sales of Property, Plant and Equipment has run from a low of -$1 million in Q4 2016 to a high of $6 million in Q4 2019 over five years.
- The strongest year-over-year quarter for Sales of Property, Plant and Equipment in the past five years was Q3 2016, with growth of 300.0%; the weakest was Q4 2020, with a decline of 50.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.07 Bn | 80.65 Bn | 9.13 Bn | - |
| 2 | Progressive | 129.71 Bn | 105.55 Bn | 9.04 Bn | 21.00 Mn |
| 3 | Marsh & Mclennan Companies | 85.23 Bn | 76.72 Bn | - | - |
| 4 | Travelers Companies | 78.57 Bn | 54.82 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 73.77 Bn | -21.12 Bn | - | - |
| 6 | Metlife | 64.61 Bn | -42.17 Bn | 7.82 Bn | 507.00 Mn |
| 7 | Allstate | 60.51 Bn | 21.78 Bn | 8.73 Bn | - |
| 8 | Arthur J. Gallagher | 59.88 Bn | 54.28 Bn | - | - |
| 9 | Aflac | 58.72 Bn | 33.93 Bn | 2.27 Bn | - |
| 10 | Aon | 58.62 Bn | 51.84 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 3.00 Mn |
| Sep 30, 2020 | 2.00 Mn |
| Jun 30, 2020 | 1.00 Mn |
| Dec 31, 2019 | 6.00 Mn |
| Sep 30, 2019 | 2.00 Mn |
| Jun 30, 2019 | 1.00 Mn |
| Mar 31, 2019 | 1.00 Mn |
| Sep 30, 2018 | 2.00 Mn |
| Mar 31, 2018 | 1.00 Mn |
| Dec 31, 2017 | 4.00 Mn |
| Jun 30, 2017 | 3.00 Mn |
| Mar 31, 2017 | 1.00 Mn |
| Dec 31, 2016 | -1.00 Mn |
| Sep 30, 2016 | 4.00 Mn |
| Mar 31, 2016 | 1.00 Mn |
| Sep 30, 2015 | 1.00 Mn |
| Mar 31, 2015 | 1.00 Mn |
| Dec 31, 2014 | 1.00 Mn |
| Sep 30, 2014 | 1.00 Mn |
| Mar 31, 2014 | 1.00 Mn |
API Access
Marsh & Mclennan Companies Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "ticker": "MRSH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=sales-of-property-plant-and-equipment&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();