CytoDyn (CYDY) Interest Expenses (2012 - 2024)
CytoDyn (CYDY) reported Interest Expenses of $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.
CytoDyn (CYDY) Interest Expenses (2012 - 2024) Analysis & Trends
For FY2024 (ended May 31, 2024), CytoDyn posted Interest Expenses of $31.78 million, down 19.0% from FY2023.
- Interest Expenses has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 32.3% (FY2019 to FY2024).
- By fiscal year, Interest Expenses came in at $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%).
- Five-year quarterly Interest Expenses spans a low of $2.94 million in fiscal Q2 2020 and a high of $46.93 million in fiscal Q4 2020.
- Year over year, Interest Expenses gained in two of the last eight quarters, with growth averaging 1.2%.
- The high point for year-over-year Interest Expenses in five years was fiscal Q3 2020 (growth of 972.1%); the low point was fiscal Q4 2022 (a decline of 89.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2024 came in at $8.51 million (Q3 2024), $6.17 million (Q2 2024) and $6.96 million (Q1 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | CytoDyn | 274.70 Mn | 274.70 Mn | - | - |
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 |
CytoDyn 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=interest-expenses&ticker=CYDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();