Pharming (PHAR) Acquisitions (2025 - 2026)
Pharming (PHAR) recorded Acquisitions of $6.13 million in Q2 2026, compared with -$57.48 million a year earlier and up 4.5% from the prior quarter.
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Analysis
Pharming (PHAR) Acquisitions (2025 - 2026) Analysis & Trends
On a TTM basis, Pharming's Acquisitions came in at -$37.73 million as of Jun 30, 2026; for FY2025, it came in at -$57.48 million.
- Across earlier years, Acquisitions came in at -$2.53 million in FY2021.
- Quarterly Acquisitions has ranged from -$57.48 million in Q2 2025 to $7.74 million in Q3 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at $5.87 million (Q1 2026), -$57.48 million (Q4 2025) and $7.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 8.75 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | -17.24 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 23.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 11.21 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Pharming | 664.67 Mn | -129.70 Mn | 141.47 Mn | 6.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.13 Mn |
| Mar 31, 2026 | 5.87 Mn |
| Dec 31, 2025 | 114.95 Mn |
| Sep 30, 2025 | 7.74 Mn |
| Jun 30, 2025 | -57.48 Mn |
| Mar 31, 2025 | 5.87 Mn |
API Access
Pharming Acquisitions 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=acquisitions&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();