Oramed Pharmaceuticals (ORMP) Return on Capital Employed [ROCE] (2011 - 2026)
Oramed Pharmaceuticals' Return on Capital Employed [ROCE] was -4.71% in Q2 2026, up 4.35 percentage points from -9.06% a year earlier and up 1.25 percentage points from the prior quarter.
Oramed Pharmaceuticals (ORMP) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Oramed Pharmaceuticals came in at -8.67%, down 1.66 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -41.46 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -7.01% in FY2024 (+4.42 pp), -11.44% in FY2023 (+13.32 pp), -24.76% in FY2022 (-33.18 pp) and 8.42% in FY2021.
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q3 2016.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for four straight quarters, with an average year-over-year change of +2.43 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2023 (a gain of 18.31 percentage points); the worst was Q1 2023 (a drop of 12.09 percentage points).
- Per Business Quant data, ORMP's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -5.95% (Q1 2026), -7.30% (Q4 2025) and -7.03% (Q3 2025).
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 | Oramed Pharmaceuticals | 185.09 Mn | 185.09 Mn | - | -4.71% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.71% |
| Mar 31, 2026 | -5.95% |
| Dec 31, 2025 | -7.30% |
| Sep 30, 2025 | -7.03% |
| Jun 30, 2025 | -9.06% |
| Mar 31, 2025 | -9.81% |
| Dec 31, 2024 | -8.27% |
| Sep 30, 2024 | -7.71% |
| Jun 30, 2024 | -6.76% |
| Mar 31, 2024 | -7.57% |
| Dec 31, 2023 | -9.14% |
| Sep 30, 2023 | -20.98% |
| Jun 30, 2023 | -18.80% |
| Mar 31, 2023 | -23.85% |
| Dec 31, 2022 | -27.45% |
| Sep 30, 2022 | -21.22% |
| Jun 30, 2022 | -17.06% |
| Mar 31, 2022 | -11.76% |
| Nov 30, 2019 | -43.95% |
| Aug 31, 2019 | -47.60% |
Oramed Pharmaceuticals 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=ORMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "ORMP", "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=ORMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();