Lightbridge (LTBR) Operating Expenses (2011 - 2026)
Lightbridge's Operating Expenses came in at $7.62 million for Q2 2026, up 83.9% from $4.14 million a year earlier but down 0.8% from the prior quarter.
Lightbridge (LTBR) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lightbridge reported Operating Expenses of $29.24 million, up 77.6% year-over-year; for FY2025, it was $23.23 million, up 77.9% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $13.06 million in FY2024 (+43.9%), $9.07 million in FY2023 (+11.2%), $8.16 million in FY2022 (-4.3%) and $8.53 million in FY2021 (-41.5%).
- The five-year range for quarterly Operating Expenses is $1.61 million (Q2 2022) to $8.73 million (Q4 2025).
- Year-over-year, Operating Expenses has increased for 11 consecutive quarters, with growth averaging 66.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2025 (growth of 107.9%), and the weakest in Q4 2021 (a decline of 66.0%).
- Business Quant data shows LTBR's Operating Expenses at $7.68 million (Q1 2026), $8.73 million (Q4 2025) and $5.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 35.78 Bn | 32.37 Bn | - | - |
| 2 | NexGen Energy | 5.02 Bn | 2.56 Bn | - | 5.44 Mn |
| 3 | Warrior Met Coal | 4.45 Bn | 3.15 Bn | 169.64 Mn | 415.17 Mn |
| 4 | Core Natural Resources | 4.38 Bn | 2.62 Bn | 252.03 Mn | 985.26 Mn |
| 5 | Uranium Energy | 3.86 Bn | 2.27 Bn | 10.03 Mn | 45.84 Mn |
| 6 | Alliance Resource Partners | 3.32 Bn | 3.01 Bn | 202.70 Mn | 455.98 Mn |
| 7 | Peabody Energy | 2.74 Bn | 541.50 Mn | - | 953.90 Mn |
| 8 | Centrus Energy | 2.18 Bn | -5.15 Bn | 49.90 Mn | 37.00 Mn |
| 9 | Energy Fuels | 2.06 Bn | -885.14 Mn | 14.42 Mn | 55.68 Mn |
| 10 | Lightbridge | 77.19 Mn | -731.14 Mn | - | 7.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.62 Mn |
| Mar 31, 2026 | 7.68 Mn |
| Dec 31, 2025 | 8.73 Mn |
| Sep 30, 2025 | 5.20 Mn |
| Jun 30, 2025 | 4.14 Mn |
| Mar 31, 2025 | 5.15 Mn |
| Dec 31, 2024 | 4.20 Mn |
| Sep 30, 2024 | 2.97 Mn |
| Jun 30, 2024 | 2.70 Mn |
| Mar 31, 2024 | 3.18 Mn |
| Dec 31, 2023 | 2.63 Mn |
| Sep 30, 2023 | 2.16 Mn |
| Jun 30, 2023 | 1.96 Mn |
| Mar 31, 2023 | 2.31 Mn |
| Dec 31, 2022 | 2.18 Mn |
| Sep 30, 2022 | 2.20 Mn |
| Jun 30, 2022 | 1.61 Mn |
| Mar 31, 2022 | 2.18 Mn |
| Dec 31, 2021 | 2.38 Mn |
| Sep 30, 2021 | 2.20 Mn |
Lightbridge 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=LTBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LTBR", "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=LTBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();