CytoDyn (CYDY) Capital Expenditures (2010 - 2022)
CytoDyn (CYDY) posted Capital Expenditures of $17,000 for fiscal Q3 2022 (quarter ended Feb 28, 2022), down 26.1% from $23,000 a year earlier but up 240.0% from the prior quarter.
CytoDyn (CYDY) Capital Expenditures (2010 - 2022) Analysis & Trends
For the trailing twelve months through Feb 28, 2022, Capital Expenditures at CytoDyn was $52,000, down 49.5% year-over-year; for FY2021 (ended May 31, 2021), it was $122,000, up 197.6% from FY2020.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 59.1% (FY2016 to FY2021).
- In prior fiscal years, CytoDyn's Capital Expenditures was $41,000 in FY2020 (+57.7%), $26,000 in FY2019 and $11,114 in FY2017 (-7.0%).
- Quarterly Capital Expenditures has run from a low of $920.00 in fiscal Q3 2019 to a high of $59,000 in fiscal Q1 2021 over five years.
- On a year-over-year basis, Capital Expenditures has declined in each of the last three quarters, with growth averaging 65.4% over the last seven quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was fiscal Q4 2021, with growth of 633.3%; the weakest was fiscal Q4 2020, with a decline of 86.9%.
- According to Business Quant data, Capital Expenditures for the three prior fiscal quarters was $5,000 (Q2 2022), $8,000 (Q1 2022) and $22,000 (Q4 2021).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 112.20 Mn |
| 10 | CytoDyn | 274.70 Mn | 274.70 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2022 | 17,000.00 |
| Nov 30, 2021 | 5,000.00 |
| Aug 31, 2021 | 8,000.00 |
| May 31, 2021 | 22,000.00 |
| Feb 28, 2021 | 23,000.00 |
| Nov 30, 2020 | 18,000.00 |
| Aug 31, 2020 | 59,000.00 |
| May 31, 2020 | 3,000.00 |
| Feb 29, 2020 | 24,000.00 |
| Nov 30, 2019 | 9,000.00 |
| Aug 31, 2019 | 5,000.00 |
| May 31, 2019 | 22,818.00 |
| Feb 28, 2019 | 920.00 |
| Aug 31, 2018 | 2,262.00 |
| May 31, 2017 | 3,210.00 |
| Feb 28, 2017 | 4,424.00 |
| Aug 31, 2016 | 3,480.00 |
| May 31, 2015 | 2,532.00 |
| Feb 28, 2015 | 1.00 |
| Nov 30, 2014 | -891.00 |
CytoDyn Capital Expenditures 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=capital-expenditures&ticker=CYDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();