Rio Tinto (RIO) Other Accumulated Expenses (2009 - 2025)
Rio Tinto's Other Accumulated Expenses was -$352 million in Q2 2025, compared with -$714 million a year earlier.
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Analysis
Rio Tinto (RIO) Other Accumulated Expenses (2009 - 2025) Analysis & Trends
At the end of FY2024, Other Accumulated Expenses at Rio Tinto came in at -$315 million.
- In earlier years, Other Accumulated Expenses was -$734 million in FY2023, -$744 million in FY2022, -$302 million in FY2021 and -$7 million in FY2020.
- Quarterly Other Accumulated Expenses has moved between -$744 million (Q4 2022) and -$7 million (Q4 2020) over five years.
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, 2025 | -352.00 Mn |
| Dec 31, 2024 | -315.00 Mn |
| Jun 30, 2024 | -714.00 Mn |
| Dec 31, 2023 | -734.00 Mn |
| Jun 30, 2023 | -724.00 Mn |
| Dec 31, 2022 | -744.00 Mn |
| Dec 31, 2021 | -302.00 Mn |
| Dec 31, 2020 | -7.00 Mn |
| Dec 31, 2015 | -1.25 Bn |
| Jun 30, 2015 | -2.48 Bn |
| Dec 31, 2014 | -2.78 Bn |
| Jun 30, 2014 | 39.00 Mn |
| Dec 31, 2012 | -82.00 Mn |
| Dec 31, 2011 | -94.00 Mn |
| Jun 30, 2011 | -9.78 Bn |
| Dec 10, 2010 | -9.02 Bn |
| Jun 30, 2010 | -7.88 Bn |
| Dec 31, 2009 | 46.00 Mn |
| Jun 30, 2009 | -7.01 Bn |
API Access
Rio Tinto Other 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=other-accumulated-expenses&ticker=RIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=RIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();