Vertex Pharmaceuticals (VRTX) Change in Inventory (2011 - 2026)
Vertex Pharmaceuticals (VRTX) reported Change in Inventory of $27.7 million for Q2 2026, down 81.4% from $148.6 million a year earlier and down 71.6% from the prior quarter.
Vertex Pharmaceuticals (VRTX) Change in Inventory (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vertex Pharmaceuticals' Change in Inventory came in at $333.9 million, down 48.3% year-over-year; for FY2025, it came in at $524.2 million, up 1.3% from FY2024.
- Change in Inventory has increased for four consecutive years, with a five-year compound annual growth rate of 31.8% (FY2020 to FY2025).
- By year, Change in Inventory came in at $517.3 million in FY2024 (+60.2%), $322.9 million in FY2023 (+136.7%), $136.4 million in FY2022 (+47.0%) and $92.8 million in FY2021 (-29.7%).
- The Q2 2026 figure ranks as the lowest quarterly Change in Inventory since Q3 2022.
- Year over year, Change in Inventory has now declined in each of the last four quarters, with growth averaging 18.3% over the last eight quarters.
- The high point for year-over-year Change in Inventory in five years was Q3 2023 (growth of 263.8%); the low point was Q2 2026 (a decline of 81.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $97.7 million (Q1 2026), $77.4 million (Q4 2025) and $131.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,221.09 Bn | 1,194.71 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 656.38 Bn | 576.24 Bn | 17.30 Bn | 150.00 Mn |
| 3 | AbbVie | 510.79 Bn | 478.80 Bn | 13.12 Bn | 148.00 Mn |
| 4 | Merck | 363.00 Bn | 317.38 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 313.89 Bn | 287.12 Bn | - | - |
| 6 | Astrazeneca | 290.02 Bn | 263.91 Bn | 13.26 Bn | - |
| 7 | Amgen | 249.59 Bn | 204.98 Bn | 7.24 Bn | 31.00 Mn |
| 8 | Gilead Sciences | 208.15 Bn | 183.26 Bn | 6.73 Bn | 252.00 Mn |
| 9 | Pfizer | 170.74 Bn | 118.10 Bn | 12.56 Bn | - |
| 10 | Vertex Pharmaceuticals | 137.20 Bn | 109.19 Bn | 2.91 Bn | 34.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.20 Mn |
| Jun 30, 2026 | 27.70 Mn |
| Mar 31, 2026 | 97.70 Mn |
| Dec 31, 2025 | 77.40 Mn |
| Sep 30, 2025 | 131.10 Mn |
| Jun 30, 2025 | 148.60 Mn |
| Mar 31, 2025 | 167.10 Mn |
| Dec 31, 2024 | 147.50 Mn |
| Sep 30, 2024 | 182.50 Mn |
| Jun 30, 2024 | 107.20 Mn |
| Mar 31, 2024 | 80.10 Mn |
| Dec 31, 2023 | 70.00 Mn |
| Sep 30, 2023 | 97.50 Mn |
| Jun 30, 2023 | 72.80 Mn |
| Mar 31, 2023 | 82.60 Mn |
| Dec 31, 2022 | 78.30 Mn |
| Sep 30, 2022 | 26.80 Mn |
| Jun 30, 2022 | 33.30 Mn |
| Mar 31, 2022 | -2.00 Mn |
| Dec 31, 2021 | 27.00 Mn |
Vertex Pharmaceuticals 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=VRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "VRTX", "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=VRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();