Lightbridge (LTBR) Change in Accured Expenses (2010 - 2026)
Lightbridge (LTBR) posted Change in Accured Expenses of $754,580 for Q2 2026, up 254.0% from $213,168 a year earlier and up 72.2% from the prior quarter.
Lightbridge (LTBR) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Lightbridge was $845,767, up 223.4% year-over-year; for FY2025, it came in at $422,866, up 118.8% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 67.8% (FY2020 to FY2025).
- In prior years, Lightbridge's Change in Accured Expenses was $193,259 in FY2024 (-44.9%), $350,995 in FY2023 (+81.1%), $193,810 in FY2022 and -$140,919 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Change in Accured Expenses since Q3 2020.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last six quarters, with growth averaging 165.9%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2025, with growth of 738.9%; the weakest was Q3 2023, with a decline of 60.0%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $438,113 (Q1 2026), -$712,646 (Q4 2025) and $365,720 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 33.86 Bn | 30.45 Bn | - | - |
| 2 | NexGen Energy | 4.79 Bn | 2.33 Bn | - | - |
| 3 | Core Natural Resources | 4.62 Bn | 2.86 Bn | 252.03 Mn | - |
| 4 | Warrior Met Coal | 4.52 Bn | 3.22 Bn | 169.64 Mn | -16.62 Mn |
| 5 | Uranium Energy | 3.57 Bn | 1.99 Bn | 10.03 Mn | 13.83 Mn |
| 6 | Alliance Resource Partners | 3.36 Bn | 3.06 Bn | 202.70 Mn | - |
| 7 | Peabody Energy | 2.79 Bn | 595.18 Mn | - | -4.30 Mn |
| 8 | Alpha Metallurgical Resources | 2.09 Bn | 507.61 Mn | 49.19 Mn | - |
| 9 | Centrus Energy | 2.01 Bn | -5.32 Bn | 49.90 Mn | -5.70 Mn |
| 10 | Lightbridge | 71.37 Mn | -736.96 Mn | - | 754,580.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 754,580.00 |
| Mar 31, 2026 | 438,113.00 |
| Dec 31, 2025 | -712,646.00 |
| Sep 30, 2025 | 365,720.00 |
| Jun 30, 2025 | 213,168.00 |
| Mar 31, 2025 | 556,624.00 |
| Dec 31, 2024 | -734,981.00 |
| Sep 30, 2024 | 226,734.00 |
| Jun 30, 2024 | 25,411.00 |
| Mar 31, 2024 | 676,095.00 |
| Dec 31, 2023 | -389,313.00 |
| Sep 30, 2023 | 282,920.00 |
| Jun 30, 2023 | 16,741.00 |
| Mar 31, 2023 | 440,647.00 |
| Dec 31, 2022 | -840,055.00 |
| Sep 30, 2022 | 707,725.00 |
| Jun 30, 2022 | 29,835.00 |
| Mar 31, 2022 | 296,305.00 |
| Dec 31, 2021 | -921,344.00 |
| Sep 30, 2021 | 568,770.00 |
Lightbridge Change in Accured 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=change-in-accured-expenses&ticker=LTBR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=LTBR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();