Vale S.A. (VALE) Accumulated Expenses (2011 - 2012)
Vale's (VALE) quarterly Accumulated Expenses came in at $886.0 million in Q2 2026, up 12.15% year-over-year from $790.0 million in Q2 2025, and up 29.53% quarter-over-quarter from $684.0 million in Q1 2026.
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Vale S.A. (VALE) Accumulated Expenses (2011 - 2012) Analysis & Trends
Vale has disclosed Accumulated Expenses across 18 years of filings, most recently posting $886.0 million for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 12.15% year-over-year to $886.0 million; the TTM figure through Jun 2026 stood at $886.0 million (up 12.15% YoY), while the FY2025 annual figure was $1.1 billion, up 11.96% from the prior year.
- Accumulated Expenses came in at $886.0 million for Q2 2026 at Vale, up from $684.0 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $1.1 billion in Q4 2025 to a low of $73.0 million in Q2 2022.
- Average Accumulated Expenses over 5 years is $747.1 million, with a median of $790.0 million recorded in 2025.
- Year-over-year, Accumulated Expenses sank 72.56% in 2022 and soared 897.26% in 2023.
- Over 5 years, Accumulated Expenses stood at $930.0 million in 2022, then climbed by 3.66% to $964.0 million in 2023, then grew by 4.98% to $1.0 billion in 2024, then advanced by 11.96% to $1.1 billion in 2025, then declined by 21.8% to $886.0 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $886.0 million in Q2 2026, $684.0 million in Q1 2026, and $1.1 billion in Q4 2025.
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Vale S.A. 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=VALE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "VALE", "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=VALE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();