Ramaco Resources (METCB) Selling, General & Administrative (2016 - 2026)
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Analysis
Ramaco Resources (METCB) Selling, General & Administrative (2016 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.28 Mn |
| Jun 30, 2026 | 17.58 Mn |
| Mar 31, 2026 | 20.29 Mn |
| Dec 31, 2025 | 19.61 Mn |
| Sep 30, 2025 | 16.14 Mn |
| Jun 30, 2025 | 15.18 Mn |
| Mar 31, 2025 | 14.60 Mn |
| Dec 31, 2024 | 11.35 Mn |
| Sep 30, 2024 | 12.92 Mn |
| Jun 30, 2024 | 10.90 Mn |
| Mar 31, 2024 | 14.11 Mn |
| Dec 31, 2023 | 11.31 Mn |
| Sep 30, 2023 | 11.46 Mn |
| Jun 30, 2023 | 14.32 Mn |
| Mar 31, 2023 | 11.74 Mn |
| Dec 31, 2022 | 10.75 Mn |
| Sep 30, 2022 | 8.67 Mn |
| Jun 30, 2022 | 8.79 Mn |
| Mar 31, 2022 | 11.82 Mn |
| Dec 31, 2021 | 5.86 Mn |
API Access
Ramaco Resources 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=METCB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "METCB", "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=METCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();