Lithium (LTUM) Operating Expenses (2010 - 2026)
Lithium (LTUM) recorded Operating Expenses of $177,984 in Q1 2026, up 12.8% from $157,819 a year earlier and up 4.8% from the prior quarter.
Lithium (LTUM) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Lithium's Operating Expenses came in at $668,487 as of Mar 31, 2026, down 0.8% year-over-year; for FY2025, it was $648,322, down 14.0% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 32.4% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $753,425 in FY2024 (+23.3%), $610,974 in FY2023 (-50.5%), $1.23 million in FY2022 (+44.3%) and $855,784 in FY2021 (+437.1%).
- The Q1 2026 figure is the highest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 5.7%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 212.2% in Q4 2022, against a decline of 86.6% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $169,879 (Q4 2025), $168,562 (Q3 2025) and $152,062 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -780.00 Mn |
| 10 | Lithium | 5.89 Mn | -5.21 Mn | - | 177,984.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 177,984.00 |
| Dec 31, 2025 | 169,879.00 |
| Sep 30, 2025 | 168,562.00 |
| Jun 30, 2025 | 152,062.00 |
| Mar 31, 2025 | 157,819.00 |
| Dec 31, 2024 | 136,983.00 |
| Sep 30, 2024 | 201,288.00 |
| Jun 30, 2024 | 177,666.00 |
| Mar 31, 2024 | 237,488.00 |
| Dec 31, 2023 | 122,212.00 |
| Sep 30, 2023 | 168,228.00 |
| Jun 30, 2023 | 125,645.00 |
| Mar 31, 2023 | 194,889.00 |
| Dec 31, 2022 | 185,762.00 |
| Sep 30, 2022 | 85,083.00 |
| Jun 30, 2022 | 873,049.00 |
| Mar 31, 2022 | 90,725.00 |
| Dec 31, 2021 | 59,507.00 |
| Sep 30, 2021 | 63,326.00 |
| Jun 30, 2021 | 57,016.00 |
Lithium Operating Expenses 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=operating-expenses&ticker=LTUM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LTUM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=LTUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();