Amarc Resources (AXREF) Assets (2009 - 2026)
Amarc Resources (AXREF) posted Assets of $3.86 million for the quarter ended Jun 30, 2026, up 9.6% from $3.52 million a year earlier and up 158.7% from the prior quarter.
Amarc Resources (AXREF) Assets (2009 - 2026) Analysis & Trends
As of Mar 31, 2026, Amarc Resources' Assets came in at $1.48 million, up 9.5% from the prior year.
- Annual Assets shows a five-year compound annual growth rate of 4.6% (years ended Mar 2021 to Mar 2026).
- In prior years, Amarc Resources' Assets was $1.35 million in the year ended Mar 31, 2025 (-81.5%), $7.3 million in the year ended Mar 31, 2024 (+58.3%), $4.61 million in the year ended Mar 31, 2023 (+482.7%) and $791,310 in the year ended Mar 31, 2022 (-33.0%).
- Quarterly Assets has run from a low of $783,024 in the quarter ended Mar 31, 2022 to a high of $7.3 million in the quarter ended Mar 31, 2024 over five years.
- On a year-over-year basis, Assets increased in three of the last eight quarters, with an average decline of 9.2%.
- The strongest year-over-year quarter for Assets in the past five years was the quarter ended Mar 31, 2023, with growth of 475.4%; the weakest was the quarter ended Mar 31, 2025, with a decline of 82.1%.
- According to Business Quant data, Assets for the three prior quarters was $1.49 million (quarter ended Mar 31, 2026), $1.57 million (quarter ended Dec 31, 2025) and $5.49 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 133.50 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 24.13 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 57.64 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 24.55 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 59.73 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 37.80 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 52.35 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 36.95 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 99.15 Bn |
| 10 | Amarc Resources | 155.51 Mn | 155.51 Mn | - | 3.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.86 Mn |
| Mar 31, 2026 | 1.49 Mn |
| Dec 31, 2025 | 1.57 Mn |
| Sep 30, 2025 | 5.49 Mn |
| Jun 30, 2025 | 3.52 Mn |
| Mar 31, 2025 | 1.31 Mn |
| Dec 31, 2024 | 1.69 Mn |
| Sep 30, 2024 | 6.50 Mn |
| Jun 30, 2024 | 4.49 Mn |
| Mar 31, 2024 | 7.30 Mn |
| Dec 31, 2023 | 4.32 Mn |
| Sep 30, 2023 | 3.42 Mn |
| Jun 30, 2023 | 6.05 Mn |
| Mar 31, 2023 | 4.51 Mn |
| Dec 31, 2022 | 5.43 Mn |
| Sep 30, 2022 | 5.92 Mn |
| Jun 30, 2022 | 2.62 Mn |
| Mar 31, 2022 | 783,023.81 |
| Dec 31, 2021 | 1.09 Mn |
| Sep 30, 2021 | 1.92 Mn |
Amarc Resources Assets 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=assets&ticker=AXREF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=AXREF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();