Amarc Resources (AXREF) Enterprise Value (2009 - 2026)
Amarc Resources' Enterprise Value was $145.49 million in the quarter ended Jun 30, 2026, up 30.6% from $111.41 million a year earlier but down 8.5% from the prior quarter.
Amarc Resources (AXREF) Enterprise Value (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Amarc Resources' Enterprise Value was $138.6 million through Jun 30, 2026, up 65.6% year-over-year; for the year ended Mar 31, 2026, it came in at $158.99 million, up 93.7% from the prior year.
- Enterprise Value shows a five-year compound annual growth rate of 59.8% (years ended Mar 2021 to Mar 2026).
- In earlier years, Enterprise Value was $82.06 million in the year ended Mar 31, 2025 (+705.9%), $10.18 million in the year ended Mar 31, 2024 (-20.3%), $12.78 million in the year ended Mar 31, 2023 (-9.1%) and $14.06 million in the year ended Mar 31, 2022 (-7.8%).
- Quarterly Enterprise Value has moved between -$31.05 million (the quarter ended Jun 30, 2023) and $206.01 million (the quarter ended Sep 30, 2025) over five years.
- The best year-over-year quarter for Enterprise Value over five years was the quarter ended Jun 30, 2025 (growth of 902.8%); the worst was the quarter ended Sep 30, 2023 (a decline of 46.9%).
- Per Business Quant data, AXREF's Enterprise Value in the three quarters before the quarter ended Jun 30, 2026 was $158.98 million (quarter ended Mar 31, 2026), $189.97 million (quarter ended Dec 31, 2025) and $206.01 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - |
| 10 | Amarc Resources | 153.26 Mn | 143.26 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 145.58 Mn |
| Mar 31, 2026 | 159.00 Mn |
| Dec 31, 2025 | 189.96 Mn |
| Sep 30, 2025 | 206.07 Mn |
| Jun 30, 2025 | 111.39 Mn |
| Mar 31, 2025 | 82.11 Mn |
| Dec 31, 2024 | 26.29 Mn |
| Sep 30, 2024 | 21.84 Mn |
| Jun 30, 2024 | 17.33 Mn |
| Mar 31, 2024 | 10.28 Mn |
| Dec 31, 2023 | 9.22 Mn |
| Sep 30, 2023 | 10.42 Mn |
| Jun 30, 2023 | 11.27 Mn |
| Mar 31, 2023 | 13.00 Mn |
| Dec 31, 2022 | 17.07 Mn |
| Sep 30, 2022 | 17.59 Mn |
| Jun 30, 2022 | 15.05 Mn |
| Mar 31, 2022 | 14.63 Mn |
| Dec 31, 2021 | 13.76 Mn |
| Sep 30, 2021 | 18.80 Mn |
Amarc Resources Enterprise Value 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=enterprise-value&ticker=AXREF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AXREF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();