CytoDyn (CYDY) Payables (2009 - 2026)
CytoDyn (CYDY) reported Payables of $23.18 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 1.6% from $22.82 million a year earlier and up 1.6% from the prior quarter.
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Analysis
CytoDyn (CYDY) Payables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), CytoDyn posted Payables of $22.8 million, down 0.7% from FY2025.
- Payables has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -19.8% (FY2021 to FY2026).
- By fiscal year, Payables came in at $22.96 million in FY2025 (-36.8%), $36.35 million in FY2024 (-46.7%), $68.14 million in FY2023 (-5.3%) and $71.98 million in FY2022 (+5.0%).
- Five-year quarterly Payables spans a low of $21.32 million in fiscal Q1 2025 and a high of $73.36 million in fiscal Q1 2023.
- Year over year, Payables gained in three of the last eight quarters, with an average decline of 19.7%.
- The high point for year-over-year Payables in five years was fiscal Q2 2022 (growth of 28.4%); the low point was fiscal Q1 2025 (a decline of 68.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $22.8 million (Q4 2026), $22.85 million (Q3 2026) and $23.26 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 5.79 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 18.17 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 34.43 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 7.17 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -25.19 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 2.95 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 934.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 4.07 Bn |
| 10 | CytoDyn | 334.50 Mn | 285.65 Mn | - | 23.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 23.18 Mn |
| May 31, 2026 | 22.80 Mn |
| Feb 28, 2026 | 50.05 Mn |
| Nov 30, 2025 | 23.26 Mn |
| Aug 31, 2025 | 22.82 Mn |
| May 31, 2025 | 22.96 Mn |
| Feb 28, 2025 | 23.02 Mn |
| Nov 30, 2024 | 21.78 Mn |
| Aug 31, 2024 | 21.32 Mn |
| May 31, 2024 | 36.35 Mn |
| Feb 29, 2024 | 68.52 Mn |
| Nov 30, 2023 | 68.38 Mn |
| Aug 31, 2023 | 68.48 Mn |
| May 31, 2023 | 68.14 Mn |
| Feb 28, 2023 | 68.12 Mn |
| Nov 30, 2022 | 72.49 Mn |
| Aug 31, 2022 | 73.36 Mn |
| May 31, 2022 | 71.98 Mn |
| Feb 28, 2022 | 66.04 Mn |
| Nov 30, 2021 | 61.49 Mn |
API Access
CytoDyn Payables 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=payables&ticker=CYDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();