Pharming (PHAR) Change in Inventory (2020 - 2026)
Pharming's Change in Inventory came in at -$7.26 million for Q2 2026, compared with -$4.05 million a year earlier.
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Analysis
Pharming (PHAR) Change in Inventory (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Pharming reported Change in Inventory of -$13.1 million; for FY2025, it was -$1.29 million.
- Going back by year, Change in Inventory was -$503,000 in FY2024, -$14.43 million in FY2023, -$15.02 million in FY2022 and -$6.15 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Change in Inventory since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (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 | 571.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 143.00 Mn |
| 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 | 31.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 145.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Pharming | 664.67 Mn | -129.70 Mn | 141.47 Mn | -7.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.26 Mn |
| Dec 31, 2025 | 4.79 Mn |
| Jun 30, 2025 | -4.05 Mn |
| Dec 31, 2024 | 5.75 Mn |
| Sep 30, 2024 | -2.13 Mn |
| Jun 30, 2024 | -3.12 Mn |
| Dec 31, 2023 | 25.55 Mn |
| Sep 30, 2023 | -396,000.00 |
| Jun 30, 2023 | -10.72 Mn |
| Dec 31, 2022 | -2.30 Mn |
| Sep 30, 2022 | 423,000.00 |
| Dec 31, 2021 | -608,000.00 |
| Sep 30, 2021 | -799,556.80 |
| Dec 31, 2020 | 5.58 Mn |
| Sep 30, 2020 | -185,724.28 |
API Access
Pharming Change in Inventory 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=change-in-inventory&ticker=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();