CytoDyn (CYDY) Selling, General & Administrative (2009 - 2026)
CytoDyn (CYDY) reported Selling, General & Administrative of $2.06 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 20.0% from $1.71 million a year earlier but down 9.9% from the prior quarter.
CytoDyn (CYDY) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, CytoDyn's Selling, General & Administrative came in at $7.79 million, up 5.8% year-over-year; for FY2026 (ended May 31, 2026), it was $7.45 million, up 2.6% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of -26.3% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $7.26 million in FY2025 (-32.9%), $10.82 million in FY2024 (-36.9%), $17.14 million in FY2023 (-61.3%) and $44.3 million in FY2022 (+29.1%).
- Five-year quarterly Selling, General & Administrative spans a low of $1.52 million in fiscal Q3 2025 and a high of $16.2 million in fiscal Q2 2022.
- Year over year, Selling, General & Administrative has now increased in each of the last three quarters, with an average decline of 5.9% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q2 2022 (growth of 114.6%); the low point was fiscal Q4 2023 (a decline of 73.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $2.28 million (Q4 2026), $1.65 million (Q3 2026) and $1.8 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.13 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.29 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.09 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.68 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.64 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 3.28 Bn |
| 10 | CytoDyn | 334.50 Mn | 285.65 Mn | - | 2.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 2.06 Mn |
| May 31, 2026 | 2.28 Mn |
| Feb 28, 2026 | 1.65 Mn |
| Nov 30, 2025 | 1.80 Mn |
| Aug 31, 2025 | 1.71 Mn |
| May 31, 2025 | 1.84 Mn |
| Feb 28, 2025 | 1.52 Mn |
| Nov 30, 2024 | 2.30 Mn |
| Aug 31, 2024 | 1.61 Mn |
| May 31, 2024 | 3.06 Mn |
| Feb 29, 2024 | 2.76 Mn |
| Nov 30, 2023 | 2.31 Mn |
| Aug 31, 2023 | 2.69 Mn |
| May 31, 2023 | 2.79 Mn |
| Feb 28, 2023 | 2.97 Mn |
| Nov 30, 2022 | 5.04 Mn |
| Aug 31, 2022 | 6.33 Mn |
| May 31, 2022 | 10.34 Mn |
| Feb 28, 2022 | 10.14 Mn |
| Nov 30, 2021 | 16.20 Mn |
CytoDyn Selling, General & Administrative 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=selling-general-and-administrative&ticker=CYDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();