CytoDyn (CYDY) Total Current Liabilities (2009 - 2026)
CytoDyn (CYDY) recorded Total Current Liabilities of $49.7 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), down 28.4% from $69.42 million a year earlier and down 7.5% from the prior quarter.
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Analysis
CytoDyn (CYDY) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), CytoDyn reported Total Current Liabilities of $53.73 million, down 23.8% from FY2025.
- 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%).
- The fiscal Q1 2027 figure is the lowest quarterly Total Current Liabilities since fiscal Q4 2020.
- On a year-over-year basis, Total Current Liabilities has declined for three consecutive quarters, with an average decline of 20.6% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 20.5% in fiscal Q2 2026, 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 $53.73 million (Q4 2026), $50.43 million (Q3 2026) and $85.11 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -31.27 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 31.73 Bn |
| 10 | CytoDyn | 334.50 Mn | 285.65 Mn | - | 49.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 49.70 Mn |
| 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 |
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();