CytoDyn (CYDY) Intangibles (2012 - 2022)
CytoDyn (CYDY) reported Intangibles of $132,000 for fiscal Q4 2022 (quarter ended May 31, 2022), down 92.0% from $1.65 million a year earlier and down 87.3% from the prior quarter.
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Analysis
CytoDyn (CYDY) Intangibles (2012 - 2022) Analysis & Trends
Dating back to fiscal Q4 2012, CytoDyn's Intangibles record includes 40 quarters.
- Intangibles has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -41.4% (FY2017 to FY2022).
- By fiscal year, Intangibles came in at $1.65 million in FY2021 (-87.7%), $13.46 million in FY2020 (-13.0%), $15.48 million in FY2019 (+887.5%) and $1.57 million in FY2018 (-18.3%).
- The fiscal Q4 2022 figure ranks as the lowest quarterly Intangibles since fiscal Q3 2013.
- Year over year, Intangibles has now declined in each of the last 11 quarters, with an average decline of 64.8% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was fiscal Q1 2020 (growth of 910.2%); the low point was fiscal Q4 2022 (a decline of 92.0%).
- Per Business Quant data, the three fiscal quarters before Q4 2022 came in at $1.04 million (Q3 2022), $1.15 million (Q2 2022) and $1.39 million (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 48.23 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 49.14 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 24.98 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 42.07 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 37.72 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 20.49 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 14.03 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 47.05 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 412.80 Mn |
| 10 | CytoDyn | 274.70 Mn | 274.70 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2022 | 132,000.00 |
| Feb 28, 2022 | 1.04 Mn |
| Nov 30, 2021 | 1.15 Mn |
| Aug 31, 2021 | 1.39 Mn |
| May 31, 2021 | 1.65 Mn |
| Feb 28, 2021 | 1.92 Mn |
| Nov 30, 2020 | 12.46 Mn |
| Aug 31, 2020 | 12.96 Mn |
| May 31, 2020 | 13.46 Mn |
| Feb 29, 2020 | 13.95 Mn |
| Nov 30, 2019 | 14.45 Mn |
| Aug 31, 2019 | 14.95 Mn |
| May 31, 2019 | 15.48 Mn |
| Feb 28, 2019 | 15.95 Mn |
| Nov 30, 2018 | 16.45 Mn |
| Aug 31, 2018 | 1.48 Mn |
| May 31, 2018 | 1.57 Mn |
| Feb 28, 2018 | 1.65 Mn |
| Nov 30, 2017 | 1.74 Mn |
| Aug 31, 2017 | 1.83 Mn |
API Access
CytoDyn Intangibles 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=intangibles&ticker=CYDY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();