Amarc Resources (AXREF) Other Accumulated Expenses (2009 - 2026)
Amarc Resources (AXREF) reported Other Accumulated Expenses of $149.82 million for the quarter ended Jun 30, 2026, down 41.3% from $255.08 million a year earlier and down 34.1% from the prior quarter.
Amarc Resources (AXREF) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Amarc Resources posted Other Accumulated Expenses of $225.7 million, up 12.8% from the prior year.
- Other Accumulated Expenses has a five-year compound annual growth rate of -17.8% (years ended Mar 2021 to Mar 2026).
- By year, Other Accumulated Expenses came in at $200.15 million in the year ended Mar 31, 2025 (+83.1%), $109.29 million in the year ended Mar 31, 2024 (-72.8%), $401.56 million in the year ended Mar 31, 2023 (+6.6%) and $376.82 million in the year ended Mar 31, 2022 (-37.4%).
- Five-year quarterly Other Accumulated Expenses spans a low of $62,403 in the quarter ended Mar 31, 2022 and a high of $631.75 million in the quarter ended Sep 30, 2021.
- Year over year, Other Accumulated Expenses gained in five of the last eight quarters, with growth averaging 50.8%.
- The high point for year-over-year Other Accumulated Expenses in five years was the quarter ended Mar 31, 2023 (growth of 438.3%); the low point was the quarter ended Dec 31, 2025 (a decline of 84.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $227.44 million (quarter ended Mar 31, 2026), $49.41 million (quarter ended Dec 31, 2025) and $191.86 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Amarc Resources | 155.51 Mn | 155.51 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 149.82 Mn |
| Mar 31, 2026 | 227.44 Mn |
| Dec 31, 2025 | 49.41 Mn |
| Sep 30, 2025 | 191.86 Mn |
| Jun 30, 2025 | 255.08 Mn |
| Mar 31, 2025 | 193.91 Mn |
| Dec 31, 2024 | 318.05 Mn |
| Sep 30, 2024 | 155.71 Mn |
| Jun 30, 2024 | 74.16 Mn |
| Mar 31, 2024 | 109.34 Mn |
| Dec 31, 2023 | 97.07 Mn |
| Sep 30, 2023 | 367.62 Mn |
| Jun 30, 2023 | 433.58 Mn |
| Mar 31, 2023 | 335,897.60 |
| Dec 31, 2022 | 387.71 Mn |
| Sep 30, 2022 | 352.95 Mn |
| Jun 30, 2022 | 404.57 Mn |
| Mar 31, 2022 | 62,402.50 |
| Dec 31, 2021 | 259.82 Mn |
| Sep 30, 2021 | 631.75 Mn |
Amarc Resources Other 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=other-accumulated-expenses&ticker=AXREF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=AXREF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();