Amarc Resources (AXREF) Other Operating Expenses (2009 - 2026)
Amarc Resources' Other Operating Expenses came in at $98,685 for the quarter ended Jun 30, 2026, up 15.6% from $85,355 a year earlier.
Amarc Resources (AXREF) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Amarc Resources reported Other Operating Expenses of -$1.2 billion; for the year ended Mar 31, 2026, it came in at $215,905, up 12.2% from the prior year.
- Other Operating Expenses carries a five-year compound annual growth rate of 92.6% (years ended Mar 2021 to Mar 2026).
- Going back by year, Other Operating Expenses was $192,465 in the year ended Mar 31, 2025 (+92.0%), $100,240 in the year ended Mar 31, 2024 (-36.6%), $158,171 in the year ended Mar 31, 2023 (+71.9%) and $92,021 in the year ended Mar 31, 2022.
- The five-year range for quarterly Other Operating Expenses is -$1.37 billion (the quarter ended Mar 31, 2026) to $172.27 million (the quarter ended Dec 31, 2025).
- Year-over-year, Other Operating Expenses increased in three of the last five quarters, with growth averaging 42.9%.
- The fastest year-over-year change in Other Operating Expenses over five years came in the quarter ended Sep 30, 2021 (growth of 634.6%), and the weakest in the quarter ended Jun 30, 2025 (a decline of 99.4%).
- Business Quant data shows AXREF's Other Operating Expenses at -$1.37 billion (quarter ended Mar 31, 2026), $172.27 million (quarter ended Dec 31, 2025) and $21,407 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - |
| 10 | Amarc Resources | 152.95 Mn | 142.96 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 98,685.08 |
| Mar 31, 2026 | -1.59 Bn |
| Dec 31, 2025 | 162.22 Mn |
| Sep 30, 2025 | 21,406.67 |
| Jun 30, 2025 | 85,354.77 |
| Mar 31, 2025 | -275.20 Mn |
| Dec 31, 2024 | 89.15 Mn |
| Sep 30, 2024 | 5,374.01 |
| Jun 30, 2024 | 13.33 Mn |
| Mar 31, 2024 | -193.89 Mn |
| Dec 31, 2023 | 35.72 Mn |
| Sep 30, 2023 | 82,776.65 |
| Jun 30, 2023 | 75.80 Mn |
| Mar 31, 2023 | 50,802.35 |
| Dec 31, 2022 | 38,840.45 |
| Sep 30, 2022 | 40,659.02 |
| Jun 30, 2022 | 27,084.85 |
| Mar 31, 2022 | 14,471.87 |
| Dec 31, 2021 | 14,995.64 |
| Sep 30, 2021 | 52,834.57 |
Amarc Resources Other 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=other-operating-expenses&ticker=AXREF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=AXREF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();