Lithium Argentina AG (LAR) Total Liabilities (2016 - 2026)
Lithium Argentina AG's Total Liabilities came in at $312.93 million for Q2 2026, up 23.8% from $252.82 million a year earlier but down 4.0% from the prior quarter.
Lithium Argentina AG (LAR) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Lithium Argentina AG's Total Liabilities was $282.85 million, down 82.3% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $1.6 billion in FY2024 (+605.8%), $226.1 million in FY2023 (-2.8%), $232.55 million in FY2022 (-17.3%) and $281.03 million in FY2021 (+106.6%).
- The five-year range for quarterly Total Liabilities is -$191.38 million (Q3 2023) to $1.6 billion (Q4 2024).
- Year-over-year, Total Liabilities increased in six of the last seven quarters, with growth averaging 87.6%.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2024 (growth of 605.8%), and the weakest in Q4 2025 (a decline of 82.3%).
- Business Quant data shows LAR's Total Liabilities at $326.01 million (Q1 2026), $282.85 million (Q4 2025) and $251.73 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 22.23 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 15.50 Bn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | 42.33 Bn |
| 10 | Lithium Argentina AG | 894.86 Mn | 505.50 Mn | - | 312.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 312.93 Mn |
| Mar 31, 2026 | 326.01 Mn |
| Dec 31, 2025 | 282.85 Mn |
| Sep 30, 2025 | 251.73 Mn |
| Jun 30, 2025 | 252.82 Mn |
| Mar 31, 2025 | 242.51 Mn |
| Dec 31, 2024 | 1.60 Bn |
| Sep 30, 2024 | 228.14 Mn |
| Jun 30, 2024 | 222.14 Mn |
| Mar 31, 2024 | 225.98 Mn |
| Dec 31, 2023 | 226.10 Mn |
| Sep 30, 2023 | -191.38 Mn |
| Jun 30, 2023 | 255.80 Mn |
| Mar 31, 2023 | 814.17 Mn |
| Dec 31, 2022 | 232.50 Mn |
| Sep 30, 2022 | 251.24 Mn |
| Jun 30, 2022 | 231.48 Mn |
| Mar 31, 2022 | 308.46 Mn |
| Dec 31, 2021 | 281.03 Mn |
| Sep 30, 2021 | 188.75 Mn |
Lithium Argentina AG Total Liabilities 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=total-liabilities&ticker=LAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LAR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=LAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();