CytoDyn (CYDY) Return on Capital Employed [ROCE] (2013 - 2020)
CytoDyn (CYDY) reported Return on Capital Employed [ROCE] of -3529.84% for fiscal Q2 2021 (quarter ended Nov 30, 2020).
CytoDyn (CYDY) Return on Capital Employed [ROCE] (2013 - 2020) Analysis & Trends
For FY2017 (ended May 31, 2017), CytoDyn posted Return on Capital Employed [ROCE] of -572.16%, down 197.50 percentage points from FY2016.
- Return on Capital Employed [ROCE] has a three-year change of -375.54 percentage points (FY2014 to FY2017).
- By fiscal year, Return on Capital Employed [ROCE] came in at -374.65% in FY2016 and -196.62% in FY2014.
- The fiscal Q2 2021 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since fiscal Q4 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | CytoDyn | 334.50 Mn | 285.65 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2020 | -3,529.84% |
| May 31, 2020 | -45,249.38% |
| May 31, 2017 | -519.35% |
| Feb 28, 2017 | -264.84% |
| Nov 30, 2016 | -376.73% |
| Aug 31, 2016 | -233.84% |
| May 31, 2016 | -199.67% |
| Feb 29, 2016 | -346.92% |
| Nov 30, 2014 | -1,070.97% |
| Aug 31, 2014 | -209.92% |
| May 31, 2014 | -107.38% |
| Feb 28, 2014 | -73.47% |
| Nov 30, 2013 | -94.05% |
| Aug 31, 2013 | -793.75% |
| May 31, 2013 | -733.30% |
| Feb 28, 2013 | -867.89% |
CytoDyn Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=CYDY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=CYDY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();