CytoDyn (CYDY) Non Operating Interest Expenses (2012 - 2024)
CytoDyn's Non Operating Interest Expenses came in at $10.15 million for fiscal Q4 2024 (quarter ended May 31, 2024), down 31.7% from $14.86 million a year earlier but up 19.4% from the prior quarter.
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Analysis
CytoDyn (CYDY) Non Operating Interest Expenses (2012 - 2024) Analysis & Trends
For FY2024 (ended May 31, 2024), CytoDyn's Non Operating Interest Expenses was $31.78 million, down 19.0% from FY2023.
- Non Operating Interest Expenses has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 32.3% (FY2019 to FY2024).
- Going back by fiscal year, Non Operating Interest Expenses was $39.25 million in FY2023 (-40.0%), $65.42 million in FY2022 (-9.0%), $71.87 million in FY2021 (+10.1%) and $65.29 million in FY2020 (+732.2%).
- The five-year range for quarterly Non Operating Interest Expenses is $2.94 million (fiscal Q2 2020) to $46.93 million (fiscal Q4 2020).
- Year-over-year, Non Operating Interest Expenses increased in two of the last eight quarters, with growth averaging 1.2%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q3 2020 (growth of 972.1%), and the weakest in fiscal Q4 2022 (a decline of 89.1%).
- Business Quant data shows CYDY's Non Operating Interest Expenses at $8.51 million (Q3 2024), $6.17 million (Q2 2024) and $6.96 million (Q1 2024) in the three fiscal quarters before Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | - |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -462.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -435.00 Mn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | CytoDyn | 274.70 Mn | 274.70 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2024 | 10.15 Mn |
| Feb 29, 2024 | 8.51 Mn |
| Nov 30, 2023 | 6.17 Mn |
| Aug 31, 2023 | 6.96 Mn |
| May 31, 2023 | 14.86 Mn |
| Feb 28, 2023 | 9.78 Mn |
| Nov 30, 2022 | 3.33 Mn |
| Aug 31, 2022 | 11.28 Mn |
| May 31, 2022 | 5.07 Mn |
| Feb 28, 2022 | 21.89 Mn |
| Nov 30, 2021 | 14.76 Mn |
| Aug 31, 2021 | 23.70 Mn |
| May 31, 2021 | 46.44 Mn |
| Feb 28, 2021 | 6.80 Mn |
| Nov 30, 2020 | 13.48 Mn |
| Aug 31, 2020 | 5.26 Mn |
| May 31, 2020 | 46.93 Mn |
| Feb 29, 2020 | 11.26 Mn |
| Nov 30, 2019 | 2.94 Mn |
| Aug 31, 2019 | 4.16 Mn |
API Access
CytoDyn Non Operating Interest 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=non-operating-interest-expenses&ticker=CYDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();