Lite Strategy (LITS) Operating Expenses (2010 - 2026)
Lite Strategy's Operating Expenses came in at $11.36 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 294.8% from $2.88 million a year earlier but down 47.4% from the prior quarter.
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Analysis
Lite Strategy (LITS) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Lite Strategy's Operating Expenses was $66.58 million, up 281.4% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of -6.9% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $17.46 million in FY2025 (-65.6%), $50.76 million in FY2024 (-40.7%), $85.58 million in FY2023 (-26.3%) and $116.18 million in FY2022 (+22.0%).
- The five-year range for quarterly Operating Expenses is $2.77 million (fiscal Q3 2025) to $31.25 million (fiscal Q3 2022).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 180.0% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2026 (growth of 765.5%), and the weakest in fiscal Q4 2025 (a decline of 84.8%).
- Business Quant data shows LITS's Operating Expenses at $21.61 million (Q3 2026), $29.87 million (Q2 2026) and $3.74 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Lite Strategy | 40.09 Mn | 7.97 Mn | - | 11.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.36 Mn |
| Mar 31, 2026 | 21.61 Mn |
| Dec 31, 2025 | 29.87 Mn |
| Sep 30, 2025 | 3.74 Mn |
| Jun 30, 2025 | 2.88 Mn |
| Mar 31, 2025 | 2.77 Mn |
| Dec 31, 2024 | 3.45 Mn |
| Sep 30, 2024 | 8.35 Mn |
| Jun 30, 2024 | 18.98 Mn |
| Mar 31, 2024 | 9.83 Mn |
| Dec 31, 2023 | 11.93 Mn |
| Sep 30, 2023 | 10.02 Mn |
| Jun 30, 2023 | 12.54 Mn |
| Mar 31, 2023 | 22.29 Mn |
| Dec 31, 2022 | 23.81 Mn |
| Sep 30, 2022 | 26.95 Mn |
| Jun 30, 2022 | 27.61 Mn |
| Mar 31, 2022 | 31.25 Mn |
| Dec 31, 2021 | 29.46 Mn |
| Sep 30, 2021 | 27.86 Mn |
API Access
Lite Strategy 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=LITS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=LITS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();