CytoDyn (CYDY) Accumulated Expenses (2009 - 2026)
CytoDyn (CYDY) reported Accumulated Expenses of $8.61 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 48.1% from $16.58 million a year earlier and down 22.7% from the prior quarter.
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Analysis
CytoDyn (CYDY) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), CytoDyn posted Accumulated Expenses of $11.14 million, down 38.6% from FY2025.
- Accumulated Expenses has a five-year compound annual growth rate of 40.9% (FY2021 to FY2026).
- By fiscal year, Accumulated Expenses came in at $18.15 million in FY2025 (+19.2%), $15.23 million in FY2024 (+43.7%), $10.6 million in FY2023 (+77.4%) and $5.97 million in FY2022 (+197.7%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Accumulated Expenses since fiscal Q2 2023.
- Year over year, Accumulated Expenses has now declined in each of the last four quarters, with an average decline of 6.2% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was fiscal Q2 2022 (growth of 223.9%); the low point was fiscal Q1 2027 (a decline of 48.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $11.14 million (Q4 2026), $11.75 million (Q3 2026) and $14.97 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | CytoDyn | 334.50 Mn | 285.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 8.61 Mn |
| May 31, 2026 | 11.14 Mn |
| Feb 28, 2026 | 11.75 Mn |
| Nov 30, 2025 | 14.97 Mn |
| Aug 31, 2025 | 16.58 Mn |
| May 31, 2025 | 18.15 Mn |
| Feb 28, 2025 | 18.70 Mn |
| Nov 30, 2024 | 17.55 Mn |
| Aug 31, 2024 | 16.39 Mn |
| May 31, 2024 | 15.23 Mn |
| Feb 29, 2024 | 14.08 Mn |
| Nov 30, 2023 | 12.94 Mn |
| Aug 31, 2023 | 11.77 Mn |
| May 31, 2023 | 10.60 Mn |
| Feb 28, 2023 | 9.42 Mn |
| Nov 30, 2022 | 8.28 Mn |
| Aug 31, 2022 | 7.12 Mn |
| May 31, 2022 | 5.97 Mn |
| Feb 28, 2022 | 4.86 Mn |
| Nov 30, 2021 | 3.67 Mn |
API Access
CytoDyn Accumulated 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=accumulated-expenses&ticker=CYDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();