Amarc Resources (AXREF) Operating Expenses (2009 - 2026)
Amarc Resources' Operating Expenses was $419.07 million in the quarter ended Jun 30, 2026, up 33.9% from $312.88 million a year earlier.
Amarc Resources (AXREF) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Amarc Resources' Operating Expenses was -$13.24 billion through Jun 30, 2026; for the year ended Mar 31, 2026, it came in at $5.45 million, down 99.5% from the prior year.
- Operating Expenses shows a five-year compound annual growth rate of 36.8% (years ended Mar 2021 to Mar 2026).
- In earlier years, Operating Expenses was $1.17 billion in the year ended Mar 31, 2025 (+33.8%), $871.1 million in the year ended Mar 31, 2024, $11.81 million in the year ended Mar 31, 2023 (+145.9%) and $4.8 million in the year ended Mar 31, 2022 (+322.2%).
- Quarterly Operating Expenses has moved between -$14.55 billion (the quarter ended Mar 31, 2026) and $4.02 billion (the quarter ended Dec 31, 2024) over five years.
- Compared with a year earlier, Operating Expenses was higher in three of the last five quarters, with an average decline of 5.6%.
- The best year-over-year quarter for Operating Expenses over five years was the quarter ended Dec 31, 2021 (growth of 469.9%); the worst was the quarter ended Jun 30, 2025 (a decline of 91.5%).
- Per Business Quant data, AXREF's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was -$14.55 billion (quarter ended Mar 31, 2026), $890.83 million (quarter ended Dec 31, 2025) and $8.54 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nucor | 175.24 Bn | 165.01 Bn | 2.33 Bn | 9.38 Bn |
| 2 | Rio Tinto | 166.15 Bn | 128.95 Bn | - | - |
| 3 | Southern Copper | 143.83 Bn | 118.64 Bn | 3.10 Bn | 1.88 Bn |
| 4 | Rio Tinto | 137.31 Bn | 104.37 Bn | - | - |
| 5 | Newmont | 124.66 Bn | 89.98 Bn | 4.22 Bn | 3.20 Bn |
| 6 | Ternium | 102.52 Bn | 75.29 Bn | 1.04 Bn | 848.62 Mn |
| 7 | Agnico Eagle Mines | 95.19 Bn | 82.13 Bn | 2.15 Bn | 146.67 Mn |
| 8 | Freeport-Mcmoran | 86.53 Bn | 83.18 Bn | 2.55 Bn | 5.19 Bn |
| 9 | Barrick Mining | 66.50 Bn | 50.91 Bn | 2.71 Bn | 177.00 Mn |
| 10 | Amarc Resources | 144.24 Mn | 134.25 Mn | - | -142,904.98 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -142,904.98 |
| Mar 31, 2026 | -308.34 Mn |
| Dec 31, 2025 | 110.56 Mn |
| Sep 30, 2025 | 8.32 Mn |
| Jun 30, 2025 | -4.62 Mn |
| Mar 31, 2025 | -211.17 Mn |
| Dec 31, 2024 | 76.04 Mn |
| Sep 30, 2024 | 7.95 Mn |
| Jun 30, 2024 | 76.34 Mn |
| Mar 31, 2024 | -6.80 Bn |
| Dec 31, 2023 | 1.26 Bn |
| Sep 30, 2023 | 3.89 Mn |
| Jun 30, 2023 | 1.85 Bn |
| Mar 31, 2023 | 3.06 Mn |
| Dec 31, 2022 | 1.63 Mn |
| Sep 30, 2022 | 5.26 Mn |
| Jun 30, 2022 | 1.48 Mn |
| Mar 31, 2022 | 398,677.97 |
| Dec 31, 2021 | 1.02 Mn |
| Sep 30, 2021 | 2.43 Mn |
Amarc Resources 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=AXREF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AXREF", "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=AXREF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();