CytoDyn (CYDY) Shares Outstanding (Diluted) (2020 - 2026)
CytoDyn (CYDY) recorded Shares Outstanding (Diluted) of 1.29 billion in fiscal Q4 2026 (quarter ended May 31, 2026), up 3.7% from 1.24 billion a year earlier and up 1.1% from the prior quarter.
Powered by 
Analysis
CytoDyn (CYDY) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
Starting with fiscal Q4 2020, CytoDyn's Shares Outstanding (Diluted) history includes 25 quarters.
- Annual Shares Outstanding (Diluted) has increased for six straight fiscal years, with a five-year compound annual growth rate of 17.0% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 1.24 billion in FY2025 (+28.2%), 969.51 million in FY2024 (+15.9%), 836.53 million in FY2023 (+23.6%) and 676.9 million in FY2022 (+15.2%).
- The fiscal Q4 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q4 2020.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 21 consecutive quarters, with growth averaging 15.7% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 3.2% (fiscal Q2 2026) and 50.2% (fiscal Q1 2022) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at 1.28 billion (Q3 2026), 1.26 billion (Q2 2026) and 1.25 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 5.70 Bn |
| 10 | CytoDyn | 274.70 Mn | 274.70 Mn | - | 1.29 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.29 Bn |
| Feb 28, 2026 | 1.28 Bn |
| Nov 30, 2025 | 1.26 Bn |
| Aug 31, 2025 | 1.25 Bn |
| May 31, 2025 | 1.24 Bn |
| Feb 28, 2025 | 1.23 Bn |
| Nov 30, 2024 | 1.22 Bn |
| Aug 31, 2024 | 1.20 Bn |
| May 31, 2024 | 969.51 Mn |
| Feb 29, 2024 | 982.21 Mn |
| Nov 30, 2023 | 958.99 Mn |
| Aug 31, 2023 | 923.59 Mn |
| May 31, 2023 | 836.53 Mn |
| Feb 28, 2023 | 832.22 Mn |
| Nov 30, 2022 | 813.37 Mn |
| Aug 31, 2022 | 787.86 Mn |
| May 31, 2022 | 676.90 Mn |
| Feb 28, 2022 | 695.61 Mn |
| Nov 30, 2021 | 662.60 Mn |
| Aug 31, 2021 | 632.60 Mn |
API Access
CytoDyn Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=CYDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();