Lite Strategy (LITS) Accumulated Expenses (2011 - 2026)
Lite Strategy (LITS) posted Accumulated Expenses of $808,000 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 31.4% from $1.18 million a year earlier but up 15.6% from the prior quarter.
Lite Strategy (LITS) Accumulated Expenses (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Lite Strategy has reported Accumulated Expenses for 61 quarters.
- Annual Accumulated Expenses has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -37.4% (FY2021 to FY2026).
- In prior fiscal years, Lite Strategy's Accumulated Expenses was $1.18 million in FY2025 (-77.3%), $5.19 million in FY2024 (-58.4%), $12.46 million in FY2023 (+15.2%) and $10.82 million in FY2022 (+28.8%).
- Quarterly Accumulated Expenses has run from a low of $565,000 in fiscal Q1 2026 to a high of $16.26 million in fiscal Q3 2023 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last 12 quarters, with an average decline of 59.3% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2023, with growth of 61.3%; the weakest was fiscal Q3 2025, with a decline of 80.3%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $699,000 (Q3 2026), $760,000 (Q2 2026) and $565,000 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,164.71 Bn | 1,133.30 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 633.37 Bn | 551.90 Bn | 17.26 Bn |
| 3 | AbbVie | 503.99 Bn | 477.10 Bn | 12.70 Bn |
| 4 | Merck | 378.19 Bn | 332.57 Bn | 12.21 Bn |
| 5 | Novartis Ag | 303.15 Bn | 267.14 Bn | 11.24 Bn |
| 6 | Astrazeneca | 266.17 Bn | 239.85 Bn | 12.86 Bn |
| 7 | Amgen | 241.38 Bn | 196.78 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.07 Bn | 168.27 Bn | 6.22 Bn |
| 9 | Pfizer | 172.31 Bn | 118.96 Bn | 10.94 Bn |
| 10 | Lite Strategy | 41.47 Mn | 9.35 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 808,000.00 |
| Mar 31, 2026 | 699,000.00 |
| Dec 31, 2025 | 760,000.00 |
| Sep 30, 2025 | 565,000.00 |
| Jun 30, 2025 | 1.18 Mn |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | 1.69 Mn |
| Sep 30, 2024 | 1.90 Mn |
| Jun 30, 2024 | 5.19 Mn |
| Mar 31, 2024 | 5.39 Mn |
| Dec 31, 2023 | 5.65 Mn |
| Sep 30, 2023 | 4.29 Mn |
| Jun 30, 2023 | 12.46 Mn |
| Mar 31, 2023 | 16.26 Mn |
| Dec 31, 2022 | 14.35 Mn |
| Sep 30, 2022 | 9.22 Mn |
| Jun 30, 2022 | 10.82 Mn |
| Mar 31, 2022 | 10.08 Mn |
| Dec 31, 2021 | 9.77 Mn |
| Sep 30, 2021 | 6.10 Mn |
Lite Strategy Accumulated 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=accumulated-expenses&ticker=LITS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LITS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LITS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();