Oragenics (OGEN) Return on Capital Employed [ROCE] (2012 - 2023)
Oragenics (OGEN) posted Return on Capital Employed [ROCE] of -451.05% for Q4 2023, down 350.27 percentage points from -100.78% a year earlier and down 297.54 percentage points from the prior quarter.
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Analysis
Oragenics (OGEN) Return on Capital Employed [ROCE] (2012 - 2023) Analysis & Trends
For FY2023, Oragenics' Return on Capital Employed [ROCE] came in at -259.24%, down 186.76 percentage points from FY2022.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -185.01 percentage points (FY2018 to FY2023).
- In prior years, Oragenics' Return on Capital Employed [ROCE] was -72.47% in FY2022 (-0.82 pp), -71.65% in FY2021 (+77.40 pp), -149.05% in FY2020 (-65.70 pp) and -83.34% in FY2019 (-9.12 pp).
- The Q4 2023 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q3 2015.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last seven quarters, with an average year-over-year change of -72.73 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2021, with a gain of 201.81 percentage points; the weakest was Q4 2023, with a drop of 350.27 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -153.51% (Q3 2023), -133.47% (Q2 2023) and -109.02% (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 11.86% |
| 10 | Oragenics | 2.30 Mn | 2.30 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -451.05% |
| Sep 30, 2023 | -153.51% |
| Jun 30, 2023 | -133.47% |
| Mar 31, 2023 | -109.02% |
| Dec 31, 2022 | -100.78% |
| Sep 30, 2022 | -84.20% |
| Jun 30, 2022 | -71.97% |
| Mar 31, 2022 | -61.29% |
| Dec 31, 2021 | -55.89% |
| Sep 30, 2021 | -58.17% |
| Jun 30, 2021 | -53.03% |
| Mar 31, 2021 | -98.13% |
| Dec 31, 2020 | -195.33% |
| Sep 30, 2020 | -259.99% |
| Jun 30, 2020 | -213.48% |
| Mar 31, 2020 | -113.33% |
| Dec 31, 2019 | -79.98% |
| Sep 30, 2019 | -65.28% |
| Jun 30, 2019 | -51.01% |
| Mar 31, 2019 | -46.00% |
API Access
Oragenics 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=OGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "OGEN", "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=OGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();