Insmed (INSM) Capital Expenditures (2011 - 2026)
Insmed (INSM) recorded Capital Expenditures of $6.26 million in Q2 2026, up 79.6% from $3.48 million a year earlier and up 79.9% from the prior quarter.
Insmed (INSM) Capital Expenditures (2011 - 2026) Analysis & Trends
On a TTM basis, Insmed's Capital Expenditures came in at $28.75 million as of Jun 30, 2026, up 19.7% year-over-year; for FY2025, it was $32.56 million, up 48.5% from FY2024.
- Annual Capital Expenditures has increased for five straight years, with a five-year compound annual growth rate of 39.2% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $21.92 million in FY2024 (+65.0%), $13.29 million in FY2023 (+34.5%), $9.88 million in FY2022 (+35.5%) and $7.29 million in FY2021 (+16.8%).
- Quarterly Capital Expenditures has ranged from $582,000 in Q3 2022 to $16.59 million in Q4 2025 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in five of the last eight quarters, with growth averaging 54.4%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 390.4% in Q3 2023, against a decline of 65.4% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.48 million (Q1 2026), $16.59 million (Q4 2025) and $2.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 2.93 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 1.32 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 322.00 Mn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 893.00 Mn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -321.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -763.00 Mn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 513.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 140.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 533.00 Mn |
| 10 | Insmed | 23.70 Bn | 18.21 Bn | 358.27 Mn | 6.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.26 Mn |
| Mar 31, 2026 | 3.48 Mn |
| Dec 31, 2025 | 16.59 Mn |
| Sep 30, 2025 | 2.42 Mn |
| Jun 30, 2025 | 3.48 Mn |
| Mar 31, 2025 | 10.07 Mn |
| Dec 31, 2024 | 6.77 Mn |
| Sep 30, 2024 | 3.69 Mn |
| Jun 30, 2024 | 6.78 Mn |
| Mar 31, 2024 | 4.68 Mn |
| Dec 31, 2023 | 2.15 Mn |
| Sep 30, 2023 | 2.85 Mn |
| Jun 30, 2023 | 4.88 Mn |
| Mar 31, 2023 | 3.40 Mn |
| Dec 31, 2022 | 4.69 Mn |
| Sep 30, 2022 | 582,000.00 |
| Jun 30, 2022 | 2.90 Mn |
| Mar 31, 2022 | 1.70 Mn |
| Dec 31, 2021 | 1.14 Mn |
| Sep 30, 2021 | 1.48 Mn |
Insmed Capital Expenditures 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=capital-expenditures&ticker=INSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();