CytoDyn (CYDY) Total Current Liabilities (2011 - 2026)
CytoDyn (CYDY) recorded Total Current Liabilities of $53.73 million in fiscal Q4 2026 (quarter ended May 31, 2026), down 23.8% from $70.52 million a year earlier but up 6.5% from the prior quarter.
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Analysis
CytoDyn (CYDY) Total Current Liabilities (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, CytoDyn's Total Current Liabilities history includes 61 quarters.
- Annual Total Current Liabilities has declined for five straight fiscal years, with a five-year compound annual growth rate of -18.8% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $70.52 million in FY2025 (-16.2%), $84.18 million in FY2024 (-29.7%), $119.8 million in FY2023 (-2.7%) and $123.16 million in FY2022 (-19.3%).
- Quarterly Total Current Liabilities has ranged from $50.43 million in fiscal Q3 2026 to $129.64 million in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in 1 of the last eight quarters, with an average decline of 22.8%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 69.6% in fiscal Q1 2022, against a decline of 46.1% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $50.43 million (Q3 2026), $85.11 million (Q2 2026) and $69.42 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | CytoDyn | 288.44 Mn | 288.44 Mn | - | 53.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 53.73 Mn |
| Feb 28, 2026 | 50.43 Mn |
| Nov 30, 2025 | 85.11 Mn |
| Aug 31, 2025 | 69.42 Mn |
| May 31, 2025 | 70.52 Mn |
| Feb 28, 2025 | 70.57 Mn |
| Nov 30, 2024 | 70.63 Mn |
| Aug 31, 2024 | 69.56 Mn |
| May 31, 2024 | 84.18 Mn |
| Feb 29, 2024 | 129.48 Mn |
| Nov 30, 2023 | 123.41 Mn |
| Aug 31, 2023 | 129.05 Mn |
| May 31, 2023 | 119.80 Mn |
| Feb 28, 2023 | 121.33 Mn |
| Nov 30, 2022 | 122.69 Mn |
| Aug 31, 2022 | 122.32 Mn |
| May 31, 2022 | 123.16 Mn |
| Feb 28, 2022 | 116.09 Mn |
| Nov 30, 2021 | 115.91 Mn |
| Aug 31, 2021 | 129.64 Mn |
API Access
CytoDyn Total Current 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-current-liabilities&ticker=CYDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();