First Mining Gold (FFMGF) Change in Accured Expenses (2016 - 2026)
First Mining Gold's Change in Accured Expenses came in at -$13,736 for the quarter ended Jun 30, 2026, compared with -$1,443 a year earlier.
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Analysis
First Mining Gold (FFMGF) Change in Accured Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, First Mining Gold reported Change in Accured Expenses of -$52,851; for the year ended Dec 31, 2025, it came in at -$32,923.
- Going back by year, Change in Accured Expenses was -$103,717 in the year ended Dec 31, 2024, -$105,987 in the year ended Dec 31, 2023, -$97,684 in the year ended Dec 31, 2022 and -$89,371 in the year ended Dec 31, 2021.
- The five-year range for quarterly Change in Accured Expenses is -$27,178 (the quarter ended Dec 31, 2023) to -$1,443 (the quarter ended Jun 30, 2025).
- Business Quant data shows FFMGF's Change in Accured Expenses at -$13,855 (quarter ended Mar 31, 2026), -$12,908 (quarter ended Dec 31, 2025) and -$12,353 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 107.70 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | -166.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 309.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | -106.54 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | - |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 298.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | First Mining Gold | 725.63 Mn | 725.63 Mn | - | -13,735.58 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -13,735.58 |
| Mar 31, 2026 | -13,854.91 |
| Dec 31, 2025 | -12,907.55 |
| Sep 30, 2025 | -12,352.80 |
| Jun 30, 2025 | -1,443.42 |
| Mar 31, 2025 | -6,272.25 |
| Dec 31, 2024 | -25,770.57 |
| Sep 30, 2024 | -25,656.87 |
| Jun 30, 2024 | -25,589.92 |
| Mar 31, 2024 | -26,716.08 |
| Dec 31, 2023 | -27,177.81 |
| Sep 30, 2023 | -26,853.50 |
| Jun 30, 2023 | -26,800.29 |
| Mar 31, 2023 | -25,149.68 |
| Dec 31, 2022 | -24,311.20 |
| Sep 30, 2022 | -24,535.88 |
| Jun 30, 2022 | -25,098.90 |
| Mar 31, 2022 | -23,684.26 |
| Dec 31, 2021 | -23,006.75 |
| Sep 30, 2021 | -22,243.46 |
API Access
First Mining Gold Change in Accured 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=change-in-accured-expenses&ticker=FFMGF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FFMGF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();