Rio Tinto (RIO) Other Accumulated Expenses (2009 - 2026)
Rio Tinto's Other Accumulated Expenses was -$465 million in Q2 2026, compared with -$352 million a year earlier.
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Analysis
Rio Tinto (RIO) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Rio Tinto came in at -$373 million.
- In earlier years, Other Accumulated Expenses was -$315 million in FY2024, -$734 million in FY2023, -$744 million in FY2022 and -$302 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Other Accumulated Expenses since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn |
| 10 | AngloGold Ashanti | 47.25 Bn | 34.55 Bn | 1.30 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -465.00 Mn |
| Dec 31, 2025 | -373.00 Mn |
| 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 | -46.00 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 |
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();