CytoDyn (CYDY) Total Non-Current Liabilities (2014 - 2026)
CytoDyn (CYDY) reported Total Non-Current Liabilities of $80.12 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 13.6% from $70.52 million a year earlier and up 1.1% from the prior quarter.
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Analysis
CytoDyn (CYDY) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
Dating back to fiscal Q4 2014, CytoDyn's Total Non-Current Liabilities record includes 39 quarters.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 170.6% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $70.52 million in FY2025 (-16.4%), $84.32 million in FY2024 (-30.1%) and $120.71 million in FY2023.
- Five-year quarterly Total Non-Current Liabilities spans a low of $486,000 in fiscal Q2 2022 and a high of $126.16 million in fiscal Q3 2024.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with an average decline of 12.7% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q2 2026 (growth of 20.4%); the low point was fiscal Q2 2022 (a decline of 98.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $79.21 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 Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.92 Bn |
| 10 | CytoDyn | 274.70 Mn | 274.70 Mn | - | 80.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 80.12 Mn |
| Feb 28, 2026 | 79.21 Mn |
| Nov 30, 2025 | 85.11 Mn |
| Aug 31, 2025 | 69.42 Mn |
| May 31, 2025 | 70.52 Mn |
| Feb 28, 2025 | 70.60 Mn |
| Nov 30, 2024 | 70.70 Mn |
| Aug 31, 2024 | 69.66 Mn |
| May 31, 2024 | 84.32 Mn |
| Feb 29, 2024 | 126.16 Mn |
| Nov 30, 2023 | 123.59 Mn |
| Aug 31, 2023 | 124.93 Mn |
| May 31, 2023 | 120.71 Mn |
| Nov 30, 2021 | 486,000.00 |
| Aug 31, 2021 | 519,000.00 |
| May 31, 2021 | 552,000.00 |
| Feb 28, 2021 | 588,000.00 |
| Nov 30, 2020 | 34.57 Mn |
| Aug 31, 2020 | 14.17 Mn |
| May 31, 2020 | 8.49 Mn |
API Access
CytoDyn Total Non-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-non-current-liabilities&ticker=CYDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();