Pharming (PHAR) Cash & Equivalents (2019 - 2026)
Pharming (PHAR) recorded Cash & Equivalents of $159.5 million in Q2 2026, up 21.9% from $130.8 million a year earlier but down 7.2% from the prior quarter.
Powered by 
Analysis
Pharming (PHAR) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Pharming reported Cash & Equivalents of $181.1 million, up 229.6% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $54.94 million in FY2024 (-11.0%), $61.74 million in FY2023 (-70.2%), $207.34 million in FY2022 (+8.0%) and $191.92 million in FY2021 (-6.5%).
- Quarterly Cash & Equivalents has ranged from $193,714 in Q4 2021 to $207.34 million in Q4 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for six consecutive quarters, with growth averaging 89.4% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 229.6% in Q4 2025, against a decline of 99.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $171.8 million (Q1 2026), $181.1 million (Q4 2025) and $132.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Pharming | 700.98 Mn | -129.18 Mn | 141.47 Mn | 159.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.50 Mn |
| Mar 31, 2026 | 171.80 Mn |
| Dec 31, 2025 | 181.10 Mn |
| Sep 30, 2025 | 132.37 Mn |
| Jun 30, 2025 | 130.80 Mn |
| Mar 31, 2025 | 108.90 Mn |
| Dec 31, 2024 | 54.94 Mn |
| Sep 30, 2024 | 60.66 Mn |
| Jun 30, 2024 | 47.14 Mn |
| Mar 31, 2024 | 51.89 Mn |
| Dec 31, 2023 | 61.74 Mn |
| Sep 30, 2023 | 54.65 Mn |
| Jun 30, 2023 | 192.37 Mn |
| Mar 31, 2023 | 184.78 Mn |
| Dec 31, 2022 | 207.34 Mn |
| Sep 30, 2022 | 191.92 Mn |
| Jun 30, 2022 | 189.96 Mn |
| Mar 31, 2022 | 189.67 Mn |
| Dec 31, 2021 | 193,714.32 |
| Sep 30, 2021 | 183.32 Mn |
API Access
Pharming Cash & Equivalents 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=cash-and-equivalents&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();