CytoDyn (CYDY) Total Liabilities (2011 - 2026)
CytoDyn's Total Liabilities came in at $123.69 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 8.4% from $114.09 million a year earlier and up 0.7% from the prior quarter.
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Analysis
CytoDyn (CYDY) Total Liabilities (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, CytoDyn's Total Liabilities data covers 61 quarters.
- Total Liabilities carries a five-year compound annual growth rate of -4.2% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $114.09 million in FY2025 (-10.8%), $127.89 million in FY2024 (+5.9%), $120.79 million in FY2023 (-2.3%) and $123.58 million in FY2022 (-19.3%).
- The five-year range for quarterly Total Liabilities is $112.99 million (fiscal Q1 2026) to $130.16 million (fiscal Q1 2022).
- Year-over-year, Total Liabilities has increased for three consecutive quarters, with an average decline of 1.8% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q1 2022 (growth of 43.7%), and the weakest in fiscal Q2 2022 (a decline of 22.6%).
- Business Quant data shows CYDY's Total Liabilities at $122.78 million (Q3 2026), $128.68 million (Q2 2026) and $112.99 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | CytoDyn | 288.44 Mn | 288.44 Mn | - | 123.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 123.69 Mn |
| Feb 28, 2026 | 122.78 Mn |
| Nov 30, 2025 | 128.68 Mn |
| Aug 31, 2025 | 112.99 Mn |
| May 31, 2025 | 114.09 Mn |
| Feb 28, 2025 | 114.17 Mn |
| Nov 30, 2024 | 114.27 Mn |
| Aug 31, 2024 | 113.23 Mn |
| May 31, 2024 | 127.89 Mn |
| Feb 29, 2024 | 129.65 Mn |
| Nov 30, 2023 | 123.62 Mn |
| Aug 31, 2023 | 129.30 Mn |
| May 31, 2023 | 120.79 Mn |
| Feb 28, 2023 | 121.65 Mn |
| Nov 30, 2022 | 123.04 Mn |
| Aug 31, 2022 | 122.71 Mn |
| May 31, 2022 | 123.58 Mn |
| Feb 28, 2022 | 116.54 Mn |
| Nov 30, 2021 | 116.40 Mn |
| Aug 31, 2021 | 130.16 Mn |
API Access
CytoDyn 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=CYDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CYDY", "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=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();