Lite Strategy (LITS) Total Liabilities (2011 - 2026)
Lite Strategy's Total Liabilities was $1.07 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 21.0% from $1.35 million a year earlier but up 12.3% from the prior quarter.
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Analysis
Lite Strategy (LITS) Total Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Lite Strategy has reported Total Liabilities for 61 quarters.
- Total Liabilities has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -61.4% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $1.35 million in FY2025 (-83.8%), $8.36 million in FY2024 (-91.3%), $96.19 million in FY2023 (-23.3%) and $125.43 million in FY2022 (+0.6%).
- Quarterly Total Liabilities has moved between $952,000 (fiscal Q3 2026) and $142.05 million (fiscal Q1 2022) over five years.
- Compared with a year earlier, Total Liabilities has declined for 16 straight quarters, with an average decline of 63.8% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2022 (growth of 9.2%); the worst was fiscal Q3 2025 (a decline of 93.9%).
- Per Business Quant data, LITS's Total Liabilities in the three fiscal quarters before Q4 2026 was $952,000 (Q3 2026), $1.09 million (Q2 2026) and $1.07 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Lite Strategy | 41.82 Mn | 9.70 Mn | - | 1.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Mn |
| Mar 31, 2026 | 952,000.00 |
| Dec 31, 2025 | 1.09 Mn |
| Sep 30, 2025 | 1.07 Mn |
| Jun 30, 2025 | 1.35 Mn |
| Mar 31, 2025 | 1.24 Mn |
| Dec 31, 2024 | 2.29 Mn |
| Sep 30, 2024 | 2.87 Mn |
| Jun 30, 2024 | 8.36 Mn |
| Mar 31, 2024 | 20.23 Mn |
| Dec 31, 2023 | 19.05 Mn |
| Sep 30, 2023 | 19.89 Mn |
| Jun 30, 2023 | 96.19 Mn |
| Mar 31, 2023 | 99.83 Mn |
| Dec 31, 2022 | 99.23 Mn |
| Sep 30, 2022 | 126.28 Mn |
| Jun 30, 2022 | 125.43 Mn |
| Mar 31, 2022 | 126.62 Mn |
| Dec 31, 2021 | 136.13 Mn |
| Sep 30, 2021 | 142.05 Mn |
API Access
Lite Strategy Total Liabilities 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=total-liabilities&ticker=LITS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LITS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();