CytoDyn (CYDY) Total Liabilities (2009 - 2026)
CytoDyn's Total Liabilities came in at $117.13 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 3.7% from $112.99 million a year earlier but down 5.3% from the prior quarter.
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Analysis
CytoDyn (CYDY) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), CytoDyn's Total Liabilities was $123.69 million, up 8.4% from FY2025.
- 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 $129.65 million (fiscal Q3 2024).
- Year-over-year, Total Liabilities has increased for four consecutive quarters, with growth averaging 0.2% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2026 (growth of 12.6%), and the weakest in fiscal Q2 2022 (a decline of 22.6%).
- Business Quant data shows CYDY's Total Liabilities at $123.69 million (Q4 2026), $122.78 million (Q3 2026) and $128.68 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | CytoDyn | 334.50 Mn | 285.65 Mn | - | 117.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 117.13 Mn |
| 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 |
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();