CytoDyn (CYDY) Operating Expenses (2010 - 2026)
CytoDyn's Operating Expenses came in at $5.64 million for fiscal Q4 2026 (quarter ended May 31, 2026), up 11.3% from $5.07 million a year earlier but down 10.5% from the prior quarter.
Powered by 
Analysis
CytoDyn (CYDY) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), CytoDyn's Operating Expenses was $38.58 million.
- Operating Expenses carries a five-year compound annual growth rate of -18.1% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was -$9.66 million in FY2025, $18.06 million in FY2024 (-55.5%), $40.58 million in FY2023 (-72.1%) and $145.62 million in FY2022 (+39.2%).
- The five-year range for quarterly Operating Expenses is -$22.44 million (fiscal Q1 2025) to $79.05 million (fiscal Q4 2022).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 92.8% over the last six quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2026 (growth of 485.1%), and the weakest in fiscal Q4 2023 (a decline of 95.2%).
- Business Quant data shows CYDY's Operating Expenses at $6.3 million (Q3 2026), $21.69 million (Q2 2026) and $4.95 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,172.45 Bn | 1,141.04 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 637.59 Bn | 556.11 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 504.05 Bn | 477.16 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 377.18 Bn | 331.56 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 304.13 Bn | 268.12 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.62 Bn | 241.31 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.83 Bn | 197.23 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.07 Bn | 168.27 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.51 Bn | 119.15 Bn | 10.94 Bn | 6.68 Bn |
| 10 | CytoDyn | 340.03 Mn | 291.18 Mn | - | 6.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 6.58 Mn |
| May 31, 2026 | 5.64 Mn |
| Feb 28, 2026 | 6.30 Mn |
| Nov 30, 2025 | 21.69 Mn |
| Aug 31, 2025 | 4.95 Mn |
| May 31, 2025 | 5.07 Mn |
| Feb 28, 2025 | 4.00 Mn |
| Nov 30, 2024 | 3.71 Mn |
| Aug 31, 2024 | -22.44 Mn |
| May 31, 2024 | 6.63 Mn |
| Feb 29, 2024 | 3.41 Mn |
| Nov 30, 2023 | 3.40 Mn |
| Aug 31, 2023 | 4.61 Mn |
| May 31, 2023 | 3.78 Mn |
| Feb 28, 2023 | 3.92 Mn |
| Nov 30, 2022 | 23.16 Mn |
| Aug 31, 2022 | 9.71 Mn |
| May 31, 2022 | 79.05 Mn |
| Feb 28, 2022 | 19.40 Mn |
| Nov 30, 2021 | 25.50 Mn |
API Access
CytoDyn Operating 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=operating-expenses&ticker=CYDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();