Solaris Resources (SLSR) Inventory (2023 - 2026)
Solaris Resources' Inventory came in at $168,000 for the quarter ended Jun 30, 2026, down 4.5% from the prior quarter.
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Analysis
Solaris Resources (SLSR) Inventory (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, Solaris Resources' Inventory was $156,000, up 9.1% from the prior year.
- Going back by year, Inventory was $143,000 in the year ended Dec 31, 2024 (+50.5%) and $95,000 in the year ended Dec 31, 2023.
- The five-year range for quarterly Inventory is $95,000 (the quarter ended Dec 31, 2023) to $176,000 (the quarter ended Mar 31, 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 7.73 Bn |
| 2 | Southern Copper | 169.63 Bn | 148.41 Bn | 2.90 Bn | 1.06 Bn |
| 3 | Rio Tinto | 142.91 Bn | 103.42 Bn | - | 6.97 Bn |
| 4 | Newmont | 124.92 Bn | 92.92 Bn | 4.03 Bn | 1.48 Bn |
| 5 | Freeport-Mcmoran | 99.59 Bn | 83.63 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 93.81 Bn | 83.44 Bn | 2.43 Bn | 1.62 Bn |
| 7 | Barrick Mining | 69.31 Bn | 44.51 Bn | 2.90 Bn | 2.09 Bn |
| 8 | Nucor | 59.44 Bn | 48.83 Bn | 2.03 Bn | 6.02 Bn |
| 9 | ArcelorMittal | 48.21 Bn | 27.24 Bn | - | 19.28 Bn |
| 10 | Solaris Resources | 1.17 Bn | 1.04 Bn | - | 168,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168,000.00 |
| Mar 31, 2026 | 176,000.00 |
| Dec 31, 2025 | 156,000.00 |
| Sep 30, 2025 | 119,000.00 |
| Mar 31, 2025 | 117,000.00 |
| Dec 31, 2024 | 143,000.00 |
| Sep 30, 2024 | 115,000.00 |
| Jun 30, 2024 | 138,000.00 |
| Mar 31, 2024 | 160,000.00 |
| Dec 31, 2023 | 95,000.00 |
API Access
Solaris Resources Inventory 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=inventory&ticker=SLSR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "SLSR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=SLSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();