Pharming (PHAR) Cash & Equivalents (2019 - 2026)
Pharming (PHAR) recorded Cash & Equivalents of $189.56 million in Q3 2026, up 43.2% from $132.37 million a year earlier and up 18.8% from the prior quarter.
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Analysis
Pharming (PHAR) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Pharming reported Cash & Equivalents of $145.31 million, up 164.5% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -6.7% (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%).
- The Q3 2026 figure is the highest quarterly Cash & Equivalents since Q2 2023.
- On a year-over-year basis, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 85.2% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 177.5% in Q2 2025, against a decline of 99.9% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $159.5 million (Q2 2026), $171.8 million (Q1 2026) and $145.31 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.89 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 16.91 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 10.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 9.55 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 400.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 7.94 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 13.19 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 6.44 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.82 Bn |
| 10 | Pharming | 927.62 Mn | 229.29 Mn | 102.20 | 189.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 189.56 Mn |
| Jun 30, 2026 | 159.50 Mn |
| Mar 31, 2026 | 52.38 Mn |
| Dec 31, 2025 | 145.31 Mn |
| Sep 30, 2025 | 132.37 Mn |
| Jun 30, 2025 | 130.80 Mn |
| Mar 31, 2025 | 60.09 Mn |
| Dec 31, 2024 | 54.94 Mn |
| Sep 30, 2024 | 60.66 Mn |
| Jun 30, 2024 | 161.80 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 | 188,703.00 |
| Jun 30, 2022 | 189.96 Mn |
| Mar 31, 2022 | 189.67 Mn |
| Dec 31, 2021 | 191.92 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();