Newmont (NEM) Acquisitions (2009 - 2019)
Newmont's Acquisitions came in at -$668 million for FY2023, compared with $15 million in FY2022.
Analysis
Newmont (NEM) Acquisitions (2009 - 2019) Analysis & Trends
Going back to FY2009, Newmont's Acquisitions data covers 14 years.
- The FY2023 figure represents the lowest annual Acquisitions in data going back to FY2009.
- Per Business Quant, earlier years put Acquisitions at $15 million in FY2022 (-95.4%), $328 million in FY2021 and -$127 million in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | - |
| 2 | Southern Copper | 142.97 Bn | 117.70 Bn | 3.10 Bn | - |
| 3 | Rio Tinto | 137.81 Bn | 137.81 Bn | - | - |
| 4 | Newmont | 127.26 Bn | 92.40 Bn | 4.22 Bn | - |
| 5 | Ternium | 100.82 Bn | 94.10 Bn | - | - |
| 6 | Agnico Eagle Mines | 97.59 Bn | 92.80 Bn | - | - |
| 7 | Freeport-Mcmoran | 87.09 Bn | 71.13 Bn | 2.19 Bn | - |
| 8 | Barrick Mining | 69.49 Bn | 47.98 Bn | 2.90 Bn | - |
| 9 | Nucor | 57.07 Bn | 46.45 Bn | 2.03 Bn | - |
| 10 | ArcelorMittal | 49.10 Bn | 27.10 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | -6.00 Mn |
| Dec 31, 2015 | 4.00 Mn |
| Mar 31, 2014 | 28.00 Mn |
| Jun 30, 2013 | 5.00 Mn |
| Mar 31, 2013 | 8.00 Mn |
| Dec 31, 2012 | 3.00 Mn |
| Jun 30, 2012 | 11.00 Mn |
| Mar 31, 2012 | 11.00 Mn |
| Dec 31, 2011 | 8.00 Mn |
| Sep 30, 2011 | 10.00 Mn |
| Jun 30, 2011 | 2.28 Bn |
| Mar 31, 2011 | 7.00 Mn |
| Dec 31, 2010 | 2.00 Mn |
| Sep 30, 2010 | 2.00 Mn |
| Dec 31, 2009 | 241.00 Mn |
| Sep 30, 2009 | 6.00 Mn |
| Jun 30, 2009 | 749.00 Mn |
| Mar 31, 2009 | 11.00 Mn |
API Access
Newmont Acquisitions 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=acquisitions&ticker=NEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "NEM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=acquisitions&ticker=NEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();