Rio Tinto (RIO) Operating Expenses (2009 - 2023)
Rio Tinto (RIO) recorded Operating Expenses of -$936 million in FY2024, compared with -$1.42 billion in FY2023.
Analysis
Rio Tinto (RIO) Operating Expenses (2009 - 2023) Analysis & Trends
Starting with FY2009, Rio Tinto's Operating Expenses history includes 16 years.
- Annual Operating Expenses has ranged from -$32.69 billion in FY2021 to -$746 million in FY2022 over the past five years.
- Per Business Quant data, RIO's Operating Expenses was -$1.42 billion in FY2023, -$746 million in FY2022, -$32.69 billion in FY2021 and -$26.25 billion in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 173.13 Bn | 151.92 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 153.19 Bn | 113.69 Bn | - | - |
| 4 | Newmont | 124.78 Bn | 92.78 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 105.49 Bn | 89.53 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 94.62 Bn | 84.25 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.78 Bn | 44.98 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 57.52 Bn | 46.91 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.12 Bn | 27.14 Bn | - | -780.00 Mn |
| 10 | AngloGold Ashanti | 47.51 Bn | 35.39 Bn | 1.70 Bn | 157.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -190.00 Mn |
| Dec 31, 2019 | -498.00 Mn |
| Dec 31, 2018 | -503.00 Mn |
| Dec 31, 2015 | -3.00 Mn |
| Dec 31, 2013 | 4.00 Mn |
| Dec 31, 2012 | -37.53 Bn |
| Dec 31, 2011 | -4.16 Bn |
| Dec 31, 2009 | -33.82 Bn |
API Access
Rio Tinto Operating 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=operating-expenses&ticker=RIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=RIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();