Agentix (AGTX) Return on Capital Employed [ROCE] (2015 - 2020)
Agentix (AGTX) reported Return on Capital Employed [ROCE] of -190.53% for fiscal Q1 2021 (quarter ended Nov 30, 2020).
Analysis
Agentix (AGTX) Return on Capital Employed [ROCE] (2015 - 2020) Analysis & Trends
For FY2020 (ended Aug 31, 2020), Agentix posted Return on Capital Employed [ROCE] of -446.48%.
- Return on Capital Employed [ROCE] has a five-year change of -200.36 percentage points (FY2015 to FY2020).
- By fiscal year, Return on Capital Employed [ROCE] came in at -5116.92% in FY2016 (-4870.80 pp).
- The fiscal Q1 2021 figure ranks as the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q2 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 11.86% |
| 10 | Agentix | 801,339.00 | 788,533.00 | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2020 | -190.53% |
| May 31, 2019 | -2,301,100.00% |
| Feb 28, 2019 | -9,774.18% |
| Feb 28, 2018 | -23,509.50% |
| Nov 30, 2017 | -7,797.73% |
| Aug 31, 2017 | -7,549.50% |
| May 31, 2017 | -3,960.84% |
| May 31, 2016 | -3,569.27% |
| Feb 29, 2016 | -406.47% |
| Nov 30, 2015 | -883.93% |
| Feb 28, 2015 | -551.29% |
API Access
Agentix 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=AGTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "AGTX", "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=AGTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();