CytoDyn (CYDY) Other Operating Expenses (2010 - 2026)
CytoDyn's Other Operating Expenses came in at $4.52 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 39.9% from $3.23 million a year earlier and up 34.7% from the prior quarter.
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Analysis
CytoDyn (CYDY) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, CytoDyn reported Other Operating Expenses of $32.42 million, up 213.2% year-over-year; for FY2026 (ended May 31, 2026), it came in at $31.13 million.
- Other Operating Expenses carries a five-year compound annual growth rate of -14.6% (FY2021 to FY2026).
- Going back by fiscal year, Other Operating Expenses was -$16.92 million in FY2025, $7.21 million in FY2024 (-69.0%), $23.27 million in FY2023 (-76.8%) and $100.48 million in FY2022 (+46.7%).
- The five-year range for quarterly Other Operating Expenses is -$24.05 million (fiscal Q1 2025) to $68.58 million (fiscal Q4 2022).
- Year-over-year, Other Operating Expenses has increased for three consecutive quarters, with growth averaging 72.3% over the last six quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q4 2022 (growth of 377.3%), and the weakest in fiscal Q4 2023 (a decline of 98.6%).
- Business Quant data shows CYDY's Other Operating Expenses at $3.36 million (Q4 2026), $4.65 million (Q3 2026) and $19.89 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | CytoDyn | 326.90 Mn | 278.05 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 4.52 Mn |
| May 31, 2026 | 3.36 Mn |
| Feb 28, 2026 | 4.65 Mn |
| Nov 30, 2025 | 19.89 Mn |
| Aug 31, 2025 | 3.23 Mn |
| May 31, 2025 | 3.23 Mn |
| Feb 28, 2025 | 2.48 Mn |
| Nov 30, 2024 | 1.41 Mn |
| Aug 31, 2024 | -24.05 Mn |
| May 31, 2024 | -29,000.00 |
| May 31, 2023 | 10,000.00 |
| Feb 28, 2023 | 12,000.00 |
| Nov 30, 2022 | 17.98 Mn |
| Aug 31, 2022 | 2.80 Mn |
| May 31, 2022 | 64.70 Mn |
| Feb 28, 2022 | 5.69 Mn |
| Aug 31, 2021 | -1.94 Mn |
| May 31, 2021 | 5.30 Mn |
| Feb 28, 2021 | 10.56 Mn |
| Nov 30, 2020 | 506,000.00 |
API Access
CytoDyn Other 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=other-operating-expenses&ticker=CYDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();