First Mining Gold (FFMGF) Accumulated Expenses (2017 - 2025)
First Mining Gold (FFMGF) posted Accumulated Expenses of $7.27 million for the quarter ended Dec 31, 2025, up 319.2% from $1.73 million a year earlier.
First Mining Gold (FFMGF) Accumulated Expenses (2017 - 2025) Analysis & Trends
As of Dec 31, 2025, First Mining Gold's Accumulated Expenses came in at $7.26 million, up 310.1% from the prior year.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 52.6% (years ended Dec 2020 to Dec 2025).
- In prior years, First Mining Gold's Accumulated Expenses was $1.77 million in the year ended Dec 31, 2024 (-20.0%), $2.21 million in the year ended Dec 31, 2023 (+37.1%), $1.61 million in the year ended Dec 31, 2022 (-1.6%) and $1.64 million in the year ended Dec 31, 2021 (+86.7%).
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Accumulated Expenses in data going back to the quarter ended Dec 31, 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn |
| 10 | First Mining Gold | 631.56 Mn | 510.71 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 7.68 Mn |
| Dec 31, 2024 | 1.69 Mn |
| Dec 31, 2023 | 2.26 Mn |
| Dec 31, 2022 | 1.55 Mn |
| Dec 31, 2021 | 1.61 Mn |
| Dec 31, 2020 | 922,302.35 |
| Dec 31, 2019 | 482.37 |
| Dec 31, 2018 | 176.92 |
| Dec 31, 2017 | 193.39 |
First Mining Gold 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=FFMGF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "FFMGF", "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=FFMGF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();