CytoDyn (CYDY) Change in Accured Expenses (2010 - 2026)
CytoDyn (CYDY) posted Change in Accured Expenses of $3.39 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 242.6% from $988,000 a year earlier.
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Analysis
CytoDyn (CYDY) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), CytoDyn's Change in Accured Expenses came in at $17.87 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -19.5% (FY2021 to FY2026).
- In prior fiscal years, CytoDyn's Change in Accured Expenses was -$11.33 million in FY2025, $10.77 million in FY2024, -$3.1 million in FY2023 and -$2.71 million in FY2022.
- Quarterly Change in Accured Expenses has run from a low of -$14.3 million in fiscal Q1 2025 to a high of $17.58 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in 1 of the last four quarters, with growth averaging 28.0%.
- According to Business Quant data, Change in Accured Expenses for the three prior fiscal quarters was -$4.01 million (Q3 2026), $17.58 million (Q2 2026) and $918,000 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | CytoDyn | 274.70 Mn | 274.70 Mn | - | 3.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 3.39 Mn |
| Feb 28, 2026 | -4.01 Mn |
| Nov 30, 2025 | 17.58 Mn |
| Aug 31, 2025 | 918,000.00 |
| May 31, 2025 | 988,000.00 |
| Feb 28, 2025 | 928,000.00 |
| Nov 30, 2024 | 1.05 Mn |
| Aug 31, 2024 | -14.30 Mn |
| May 31, 2024 | 4.42 Mn |
| Feb 29, 2024 | 1.97 Mn |
| Nov 30, 2023 | 1.06 Mn |
| Aug 31, 2023 | 3.32 Mn |
| May 31, 2023 | 461,000.00 |
| Feb 28, 2023 | -1.53 Mn |
| Nov 30, 2022 | -205,000.00 |
| Aug 31, 2022 | -1.82 Mn |
| May 31, 2022 | 8.64 Mn |
| Feb 28, 2022 | 5.84 Mn |
| Nov 30, 2021 | -6.74 Mn |
| Aug 31, 2021 | -10.45 Mn |
API Access
CytoDyn Change in Accured Expenses 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=change-in-accured-expenses&ticker=CYDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();