Pharming (PHAR) Cost of Revenue (2020 - 2026)
Pharming's Cost of Revenue came in at $15.40 for Q3 2026, up 116.9% from $7.10 a year earlier but down 100.0% from the prior quarter.
Pharming (PHAR) Cost of Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Pharming reported Cost of Revenue of $27.83 million, up 8.6% year-over-year; for FY2025, it came in at $45.5 million, up 28.5% from FY2024.
- Cost of Revenue has increased in each of the last three years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $35.4 million in FY2024 (+40.4%), $25.21 million in FY2023 (+43.6%), $17.56 million in FY2022 (-16.9%) and $21.14 million in FY2021 (-10.2%).
- The five-year range for quarterly Cost of Revenue is $7.10 (Q3 2025) to $50.1 million (Q2 2022).
- Year-over-year, Cost of Revenue increased in four of the last eight quarters, with an average decline of 0.4%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q2 2022 (growth of 992.2%), and the weakest in Q3 2025 (a decline of 100.0%).
- Business Quant data shows PHAR's Cost of Revenue at $21.19 million (Q2 2026), $6.64 million (Q1 2026) and $21.10 (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 3.93 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 8.10 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 4.29 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.89 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 2.95 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 2.79 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.57 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 4.03 Bn |
| 10 | Pharming | 927.62 Mn | 229.29 Mn | 102.20 | 15.40 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 15.40 |
| Jun 30, 2026 | 21.19 Mn |
| Mar 31, 2026 | 6.64 Mn |
| Dec 31, 2025 | 21.10 |
| Sep 30, 2025 | 7.10 |
| Jun 30, 2025 | 17.30 Mn |
| Mar 31, 2025 | 8.32 Mn |
| Dec 31, 2024 | 12.20 |
| Sep 30, 2024 | 6.80 Mn |
| Jun 30, 2024 | 16.37 Mn |
| Mar 31, 2024 | 8.39 Mn |
| Dec 31, 2023 | 7.10 Mn |
| Sep 30, 2023 | 8.30 Mn |
| Jun 30, 2023 | 9.80 Mn |
| Mar 31, 2023 | 4.08 Mn |
| Dec 31, 2022 | 6.30 Mn |
| Sep 30, 2022 | 2.30 Mn |
| Jun 30, 2022 | 50.10 Mn |
| Mar 31, 2022 | 4.90 Mn |
| Dec 31, 2021 | 21.13 Mn |
Pharming Cost of Revenue 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=cost-of-revenue&ticker=PHAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();