Pharming (PHAR) Return on Capital Employed [ROCE] (2021 - 2026)
Pharming (PHAR) posted Return on Capital Employed [ROCE] of 1.89% for Q2 2026, up 1.63 percentage points from 0.27% a year earlier but down 1.95 percentage points from the prior quarter.
Pharming (PHAR) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Pharming's Return on Capital Employed [ROCE] came in at 7.73%, up 12.01 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -21.54 percentage points (FY2020 to FY2025).
- In prior years, Pharming's Return on Capital Employed [ROCE] was -4.28% in FY2024 (-2.81 pp), -1.47% in FY2023 (-9.54 pp), 8.07% in FY2022 (+8.07 pp) and 0.00% in FY2021 (-29.27 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -9.38% in Q2 2024 to a high of 20.34% in Q3 2021 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last five quarters, with an average year-over-year change of +3.90 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 Q4 2025, with a gain of 12.73 percentage points; the weakest was Q2 2022, with a drop of 59.93 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 3.85% (Q1 2026), 3.40% (Q4 2025) and 3.39% (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 | Pharming | 698.17 Mn | -131.99 Mn | 141.47 Mn | 1.89% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.89% |
| Mar 31, 2026 | 3.85% |
| Dec 31, 2025 | 3.40% |
| Sep 30, 2025 | 3.39% |
| Jun 30, 2025 | 0.27% |
| Mar 31, 2025 | -6.89% |
| Dec 31, 2024 | -9.33% |
| Sep 30, 2024 | -8.96% |
| Jun 30, 2024 | -9.38% |
| Mar 31, 2024 | -3.26% |
| Dec 31, 2023 | -1.44% |
| Sep 30, 2023 | -4.56% |
| Jun 30, 2023 | -2.98% |
| Mar 31, 2023 | 0.48% |
| Dec 31, 2022 | 11.87% |
| Sep 30, 2022 | 6.99% |
| Jun 30, 2022 | 1.25% |
| Mar 31, 2022 | -1.75% |
| Dec 31, 2021 | 0.42% |
| Sep 30, 2021 | 20.34% |
Pharming 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=PHAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "PHAR", "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=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();