Largo (LGO) Receivables (2020 - 2026)
Largo's Receivables came in at $5.92 million for the quarter ended Jun 30, 2026, down 65.8% from $17.3 million a year earlier but up 101.0% from the prior quarter.
Largo (LGO) Receivables (2020 - 2026) Analysis & Trends
As of Dec 31, 2025, Largo's Receivables was $11.07 million, up 13.6% from the prior year.
- Receivables carries a five-year compound annual growth rate of -10.4% (years ended Dec 2020 to Dec 2025).
- Going back by year, Receivables was $9.74 million in the year ended Dec 31, 2024 (-61.9%), $25.6 million in the year ended Dec 31, 2023 (+22.0%), $20.98 million in the year ended Dec 31, 2022 (-11.5%) and $23.71 million in the year ended Dec 31, 2021 (+23.9%).
- The five-year range for quarterly Receivables is $2.95 million (the quarter ended Mar 31, 2026) to $34.24 million (the quarter ended Jun 30, 2022).
- Year-over-year, Receivables has declined for three consecutive quarters, with an average decline of 32.4% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in the quarter ended Sep 30, 2025 (growth of 42.1%), and the weakest in the quarter ended Mar 31, 2026 (a decline of 83.5%).
- Business Quant data shows LGO's Receivables at $2.95 million (quarter ended Mar 31, 2026), $3.74 million (quarter ended Dec 31, 2025) and $18.67 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 7.06 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 2.07 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 1.18 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 764.12 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 716.00 Mn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 856.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 4.05 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 4.51 Bn |
| 10 | Largo | 33.92 Mn | 7.00 Mn | - | 5.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.92 Mn |
| Mar 31, 2026 | 2.95 Mn |
| Dec 31, 2025 | 3.74 Mn |
| Sep 30, 2025 | 18.67 Mn |
| Jun 30, 2025 | 17.30 Mn |
| Mar 31, 2025 | 17.82 Mn |
| Dec 31, 2024 | 9.74 Mn |
| Sep 30, 2024 | 13.14 Mn |
| Jun 30, 2024 | 16.14 Mn |
| Mar 31, 2024 | 15.11 Mn |
| Dec 31, 2023 | 25.60 Mn |
| Sep 30, 2023 | 28.21 Mn |
| Jun 30, 2023 | 23.98 Mn |
| Mar 31, 2023 | 33.81 Mn |
| Dec 31, 2022 | 20.98 Mn |
| Sep 30, 2022 | 25.87 Mn |
| Jun 30, 2022 | 34.24 Mn |
| Mar 31, 2022 | 25.32 Mn |
| Dec 31, 2021 | 23.71 Mn |
| Sep 30, 2021 | 22.79 Mn |
Largo Receivables 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=receivables&ticker=LGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=LGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();