Vale S.A. (VALE) Selling, General & Administrative (2009 - 2026)
Analysis
Vale S.A. (VALE) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 176.00 Mn |
| Mar 31, 2026 | -152.00 Mn |
| Dec 31, 2025 | -207.93 Mn |
| Sep 30, 2025 | -158.00 Mn |
| Jun 30, 2025 | 131.00 Mn |
| Mar 31, 2025 | -145.00 Mn |
| Dec 31, 2024 | -208.89 Mn |
| Sep 30, 2024 | -139.00 Mn |
| Jun 30, 2024 | 137.00 Mn |
| Mar 31, 2024 | -140.00 Mn |
| Dec 31, 2023 | -146.00 Mn |
| Sep 30, 2023 | -407.00 Mn |
| Jun 30, 2023 | -139.00 Mn |
| Mar 31, 2023 | -118.00 Mn |
| Dec 31, 2022 | -515.00 Mn |
| Sep 30, 2022 | -119.00 Mn |
| Jun 30, 2022 | 127.00 Mn |
| Mar 31, 2022 | -387.00 Mn |
| Dec 31, 2021 | -131.00 Mn |
| Sep 30, 2021 | -114.00 Mn |
API Access
Vale S.A. Selling, General & Administrative 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=selling-general-and-administrative&ticker=VALE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VALE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();