Freeport-Mcmoran (FCX) Sales of Property, Plant and Equipment (2009 - 2023)
Freeport-Mcmoran's Sales of Property, Plant and Equipment was $5 million in Q3 2023, down 16.7% from $6 million a year earlier.
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Analysis
Freeport-Mcmoran (FCX) Sales of Property, Plant and Equipment (2009 - 2023) Analysis & Trends
On a trailing twelve-month basis, Freeport-Mcmoran's Sales of Property, Plant and Equipment was $107 million through Sep 30, 2023, unchanged year-over-year; for FY2019, it came in at $109 million, up 17.2% from FY2018.
- Sales of Property, Plant and Equipment shows a four-year compound annual growth rate of -9.1% (FY2015 to FY2019).
- In earlier years, Sales of Property, Plant and Equipment was $93 million in FY2018 (+29.2%), $72 million in FY2017 (-83.0%), $423 million in FY2016 (+164.4%) and $160 million in FY2015.
- Quarterly Sales of Property, Plant and Equipment has moved between $5 million (Q1 2021) and $84 million (Q1 2019) over five years.
- Compared with a year earlier, Sales of Property, Plant and Equipment was higher in three of the last four quarters, with growth averaging 223.6%.
- The best year-over-year quarter for Sales of Property, Plant and Equipment over five years was Q2 2022 (growth of 590.9%); the worst was Q1 2021 (a decline of 92.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | - |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 9.00 Mn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 6.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 7.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | - |
| 10 | AngloGold Ashanti | 46.03 Bn | 33.92 Bn | 1.70 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 5.00 Mn |
| Sep 30, 2022 | 6.00 Mn |
| Jun 30, 2022 | 76.00 Mn |
| Mar 31, 2022 | 20.00 Mn |
| Sep 30, 2021 | 5.00 Mn |
| Jun 30, 2021 | 11.00 Mn |
| Mar 31, 2021 | 5.00 Mn |
| Sep 30, 2020 | 30.00 Mn |
| Jun 30, 2020 | 50.00 Mn |
| Mar 31, 2020 | 66.00 Mn |
| Dec 31, 2019 | 7.00 Mn |
| Sep 30, 2019 | 8.00 Mn |
| Jun 30, 2019 | 10.00 Mn |
| Mar 31, 2019 | 84.00 Mn |
| Dec 31, 2018 | 83.00 Mn |
| Sep 30, 2018 | 10.00 Mn |
| Dec 31, 2017 | 4.00 Mn |
| Sep 30, 2017 | 64.00 Mn |
| Dec 31, 2016 | 13.00 Mn |
| Sep 30, 2016 | 120.00 Mn |
API Access
Freeport-Mcmoran 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=FCX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "ticker": "FCX", "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=FCX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();