Largo (LGO) Inventory (2020 - 2026)
Largo (LGO) reported Inventory of $58.45 million for the quarter ended Jun 30, 2026, up 40.0% from $41.74 million a year earlier and up 0.9% from the prior quarter.
Powered by 
Analysis
Largo (LGO) Inventory (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Largo posted Inventory of $49.51 million, up 4.2% from the prior year.
- Inventory has a five-year compound annual growth rate of 7.0% (years ended Dec 2020 to Dec 2025).
- By year, Inventory came in at $47.54 million in the year ended Dec 31, 2024 (-22.8%), $61.57 million in the year ended Dec 31, 2023 (-4.1%), $64.22 million in the year ended Dec 31, 2022 (+41.7%) and $45.32 million in the year ended Dec 31, 2021 (+28.3%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Inventory since the quarter ended Sep 30, 2024.
- Year over year, Inventory has now increased in each of the last three quarters, with growth averaging 2.0% over the last eight quarters.
- The high point for year-over-year Inventory in five years was the quarter ended Mar 31, 2022 (growth of 70.4%); the low point was the quarter ended Jun 30, 2024 (a decline of 25.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $57.95 million (quarter ended Mar 31, 2026), $49.51 million (quarter ended Dec 31, 2025) and $45.91 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 324.00 Mn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.06 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 1.48 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 4.40 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 1.62 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 2.09 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 6.02 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 19.28 Bn |
| 10 | Largo | 33.92 Mn | 7.00 Mn | - | 58.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.45 Mn |
| Mar 31, 2026 | 57.95 Mn |
| Dec 31, 2025 | 49.51 Mn |
| Sep 30, 2025 | 45.91 Mn |
| Jun 30, 2025 | 41.74 Mn |
| Mar 31, 2025 | 36.43 Mn |
| Dec 31, 2024 | 47.54 Mn |
| Sep 30, 2024 | 60.28 Mn |
| Jun 30, 2024 | 47.40 Mn |
| Mar 31, 2024 | 48.31 Mn |
| Dec 31, 2023 | 61.57 Mn |
| Sep 30, 2023 | 62.65 Mn |
| Jun 30, 2023 | 63.16 Mn |
| Mar 31, 2023 | 56.85 Mn |
| Dec 31, 2022 | 64.22 Mn |
| Sep 30, 2022 | 70.69 Mn |
| Jun 30, 2022 | 68.85 Mn |
| Mar 31, 2022 | 62.66 Mn |
| Dec 31, 2021 | 45.32 Mn |
| Sep 30, 2021 | 45.32 Mn |
API Access
Largo 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=LGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "LGO", "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=LGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();