New Found Gold (NFGC) Operating Expenses (2020 - 2026)
New Found Gold's Operating Expenses was $9.89 million in the quarter ended Jun 30, 2026, up 32.1% from $7.49 million a year earlier but down 23.1% from the prior quarter.
New Found Gold (NFGC) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, New Found Gold's Operating Expenses was -$4.44 million through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at $4.06 million, down 90.8% from the prior year.
- In earlier years, Operating Expenses was $44.06 million in the year ended Dec 31, 2024 (-72.7%), $161.28 million in the year ended Dec 31, 2023 (+64.6%), $97.96 million in the year ended Dec 31, 2022 (-93.9%) and $1.61 billion in the year ended Dec 31, 2021.
- Quarterly Operating Expenses has moved between -$56.91 million (the quarter ended Dec 31, 2023) and $1.61 billion (the quarter ended Sep 30, 2021) over five years.
- The best year-over-year quarter for Operating Expenses over five years was the quarter ended Mar 31, 2026 (growth of 89.0%); the worst was the quarter ended Mar 31, 2024 (a decline of 98.9%).
- Per Business Quant data, NFGC's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was $12.87 million (quarter ended Mar 31, 2026), -$15.36 million (quarter ended Dec 31, 2025) and -$11.85 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | -780.00 Mn |
| 10 | New Found Gold | 393.02 Mn | 128.94 Mn | 1.39 Mn | 9.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.89 Mn |
| Mar 31, 2026 | 12.87 Mn |
| Dec 31, 2025 | -15.36 Mn |
| Sep 30, 2025 | -11.85 Mn |
| Jun 30, 2025 | -7.32 Mn |
| Mar 31, 2025 | 6.81 Mn |
| Dec 31, 2024 | -11.93 Mn |
| Sep 30, 2024 | -10.49 Mn |
| Jun 30, 2024 | -8.72 Mn |
| Mar 31, 2024 | 16.40 Mn |
| Dec 31, 2023 | 104.51 Mn |
| Sep 30, 2023 | 20.53 Mn |
| Jun 30, 2023 | 1.51 Bn |
| Mar 31, 2023 | 1.50 Bn |
| Dec 31, 2022 | 15.88 Mn |
| Sep 30, 2022 | 1.55 Bn |
| Jun 30, 2022 | 1.59 Bn |
| Mar 31, 2022 | 1.60 Bn |
| Sep 30, 2021 | 1.61 Bn |
| Dec 31, 2020 | 8.94 Mn |
New Found Gold Operating 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=operating-expenses&ticker=NFGC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NFGC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=NFGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();