Rio Tinto (RIO) Accumulated Expenses (2011 - 2022)
Rio Tinto's Accumulated Expenses came in at -$11.98 billion for Q2 2022, compared with -$13.21 billion a year earlier.
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Analysis
Rio Tinto (RIO) Accumulated Expenses (2011 - 2022) Analysis & Trends
At the end of FY2021, Rio Tinto's Accumulated Expenses was -$12.79 billion.
- Going back by year, Accumulated Expenses was -$13.41 billion in FY2020, -$13.34 billion in FY2019, -$12.85 billion in FY2018 and -$15.15 billion in FY2017.
- The Q2 2022 figure represents the highest quarterly Accumulated Expenses since Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 173.13 Bn | 151.92 Bn | 2.90 Bn |
| 3 | Rio Tinto | 153.19 Bn | 113.69 Bn | - |
| 4 | Newmont | 124.78 Bn | 92.78 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 105.49 Bn | 89.53 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 94.62 Bn | 84.25 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.78 Bn | 44.98 Bn | 2.90 Bn |
| 8 | Nucor | 57.52 Bn | 46.91 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.12 Bn | 27.14 Bn | - |
| 10 | AngloGold Ashanti | 47.51 Bn | 35.39 Bn | 1.70 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -11.98 Bn |
| Dec 31, 2021 | -12.79 Bn |
| Jun 30, 2021 | -13.21 Bn |
| Dec 31, 2020 | -13.41 Bn |
| Jun 30, 2020 | -13.47 Bn |
| Dec 31, 2019 | -13.34 Bn |
| Jun 30, 2019 | -13.32 Bn |
| Dec 31, 2018 | -12.85 Bn |
| Jun 30, 2018 | -13.02 Bn |
| Dec 31, 2017 | -15.15 Bn |
| Jun 30, 2017 | -15.11 Bn |
| Dec 31, 2016 | -17.47 Bn |
| Jun 30, 2016 | -20.80 Bn |
| Dec 31, 2015 | -21.14 Bn |
| Jun 30, 2015 | -20.94 Bn |
| Dec 31, 2014 | -22.54 Bn |
| Jun 30, 2014 | -23.61 Bn |
| Dec 31, 2013 | -24.63 Bn |
| Jun 30, 2013 | -25.03 Bn |
| Dec 31, 2012 | 24.71 Bn |
API Access
Rio Tinto Accumulated Expenses 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=accumulated-expenses&ticker=RIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RIO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=RIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();