Pharming (PHAR) Non-cash Items (2019 - 2026)
Pharming's Non-cash Items was $15.13 million in Q2 2026, down 19.3% from $18.74 million a year earlier.
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Analysis
Pharming (PHAR) Non-cash Items (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pharming's Non-cash Items was $61.13 million through Jun 30, 2026, up 63.5% year-over-year; for FY2025, it came in at $46.85 million, up 151.1% from FY2024.
- Non-cash Items shows a five-year compound annual growth rate of -12.1% (FY2020 to FY2025).
- In earlier years, Non-cash Items was $18.66 million in FY2024, -$2.57 million in FY2023, $24 million in FY2022 (-43.9%) and $42.75 million in FY2021 (-52.2%).
- Quarterly Non-cash Items has moved between -$25.1 million (Q3 2021) and $18.74 million (Q2 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 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 |
| 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 |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Pharming | 664.67 Mn | -129.70 Mn | 141.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.13 Mn |
| Dec 31, 2025 | 10.18 Mn |
| Jun 30, 2025 | 18.74 Mn |
| Dec 31, 2024 | 17.09 Mn |
| Sep 30, 2024 | 9.73 Mn |
| Jun 30, 2024 | -8.16 Mn |
| Dec 31, 2023 | -2.57 Mn |
| Sep 30, 2023 | 7.83 Mn |
| Jun 30, 2023 | -21.75 Mn |
| Dec 31, 2022 | 6.09 Mn |
| Sep 30, 2022 | 11.69 Mn |
| Dec 31, 2021 | 9.00 Mn |
| Sep 30, 2021 | -25.10 Mn |
| Dec 31, 2020 | 93,376.56 |
| Sep 30, 2020 | 27.74 Mn |
| Dec 31, 2019 | 77.34 Mn |
API Access
Pharming Non-cash Items 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=non-cash-items&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "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=non-cash-items&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();