Rio Tinto (RIO) Interest Expenses (2009 - 2017)
Rio Tinto (RIO) posted Interest Expenses of -$763 million for FY2024, compared with -$967 million in FY2023.
Powered by 
Analysis
Rio Tinto (RIO) Interest Expenses (2009 - 2017) Analysis & Trends
Since FY2009, Rio Tinto has reported Interest Expenses for 15 years.
- Annual Interest Expenses has run from a low of -$967 million in FY2023 to a high of -$243 million in FY2021 over five years.
- Business Quant data shows RIO's Interest Expenses at -$967 million in FY2023, -$335 million in FY2022, -$243 million in FY2021 and -$268 million in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 16.04 Mn |
| 7 | Barrick Mining | 69.78 Bn | 44.98 Bn | 2.90 Bn | -26.00 Mn |
| 8 | Nucor | 57.52 Bn | 46.91 Bn | 2.03 Bn | 36.00 Mn |
| 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 |
|---|---|
| Dec 31, 2017 | -1.09 Bn |
| Dec 31, 2016 | -1.36 Bn |
| Dec 31, 2015 | -1.08 Bn |
| Dec 31, 2014 | -967.00 Mn |
| Dec 31, 2013 | -794.00 Mn |
| Dec 31, 2012 | -616.00 Mn |
| Dec 31, 2011 | -759.00 Mn |
| Jun 30, 2011 | -8.59 Bn |
| Jun 30, 2010 | -4.07 Bn |
| Dec 31, 2009 | -1.06 Bn |
API Access
Rio Tinto Interest 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=interest-expenses&ticker=RIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=RIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();