Insmed (INSM) Change in Inventory (2018 - 2026)
Insmed's Change in Inventory came in at $12.97 million for Q2 2026, up 160.7% from $4.98 million a year earlier and up 587.9% from the prior quarter.
Insmed (INSM) Change in Inventory (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Insmed reported Change in Inventory of $40.38 million, up 174.9% year-over-year; for FY2025, it was $31.52 million, up 84.9% from FY2024.
- Change in Inventory has increased in each of the last three years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $17.04 million in FY2024 (+25.2%), $13.61 million in FY2023 (+694.2%), $1.71 million in FY2022 (-90.2%) and $17.46 million in FY2021 (-17.6%).
- The five-year range for quarterly Change in Inventory is -$2.24 million (Q1 2022) to $13.76 million (Q3 2025).
- Year-over-year, Change in Inventory has increased for four consecutive quarters, with growth averaging 161.3% over the last eight quarters.
- The fastest year-over-year change in Change in Inventory over five years came in Q3 2023 (growth of 998.0%), and the weakest in Q3 2022 (a decline of 98.6%).
- Business Quant data shows INSM's Change in Inventory at $1.89 million (Q1 2026), $11.76 million (Q4 2025) and $13.76 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 571.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 143.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 31.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 145.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 27.70 Mn |
| 10 | Insmed | 24.91 Bn | 19.42 Bn | 358.27 Mn | 12.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.97 Mn |
| Mar 31, 2026 | 1.89 Mn |
| Dec 31, 2025 | 11.76 Mn |
| Sep 30, 2025 | 13.76 Mn |
| Jun 30, 2025 | 4.98 Mn |
| Mar 31, 2025 | 1.02 Mn |
| Dec 31, 2024 | 2.12 Mn |
| Sep 30, 2024 | 6.57 Mn |
| Jun 30, 2024 | 7.76 Mn |
| Mar 31, 2024 | 598,000.00 |
| Dec 31, 2023 | 4.43 Mn |
| Sep 30, 2023 | 1.10 Mn |
| Jun 30, 2023 | 6.89 Mn |
| Mar 31, 2023 | 1.19 Mn |
| Dec 31, 2022 | 2.34 Mn |
| Sep 30, 2022 | 100,000.00 |
| Jun 30, 2022 | 1.52 Mn |
| Mar 31, 2022 | -2.24 Mn |
| Dec 31, 2021 | -1.13 Mn |
| Sep 30, 2021 | 7.03 Mn |
Insmed 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=INSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "INSM", "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=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();