Insmed (INSM) Cost of Revenue (2018 - 2026)
Insmed (INSM) reported Cost of Revenue of $67.21 million for Q2 2026, up 139.4% from $28.08 million a year earlier and up 41.7% from the prior quarter.
Insmed (INSM) Cost of Revenue (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Insmed's Cost of Revenue came in at $188.22 million, up 94.7% year-over-year; for FY2025, it came in at $122.94 million, up 43.4% from FY2024.
- Cost of Revenue has increased for seven consecutive years, with a five-year compound annual growth rate of 25.3% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $85.74 million in FY2024 (+30.8%), $65.57 million in FY2023 (+19.0%), $55.13 million in FY2022 (+24.9%) and $44.15 million in FY2021 (+10.7%).
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to Q4 2018.
- Year over year, Cost of Revenue has now increased in each of the last 14 quarters, with growth averaging 61.8% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q2 2026 (growth of 139.4%); the low point was Q3 2021 (a decline of 4.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $47.42 million (Q1 2026), $44.22 million (Q4 2025) and $29.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 3.27 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 8.10 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 4.29 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | 4.40 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 3.71 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 2.52 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 2.81 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | 1.58 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 4.09 Bn |
| 10 | Insmed | 20.39 Bn | 14.89 Bn | 358.27 Mn | 67.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67.21 Mn |
| Mar 31, 2026 | 47.42 Mn |
| Dec 31, 2025 | 44.22 Mn |
| Sep 30, 2025 | 29.37 Mn |
| Jun 30, 2025 | 28.08 Mn |
| Mar 31, 2025 | 21.28 Mn |
| Dec 31, 2024 | 26.15 Mn |
| Sep 30, 2024 | 21.17 Mn |
| Jun 30, 2024 | 20.96 Mn |
| Mar 31, 2024 | 17.46 Mn |
| Dec 31, 2023 | 18.44 Mn |
| Sep 30, 2023 | 16.71 Mn |
| Jun 30, 2023 | 16.59 Mn |
| Mar 31, 2023 | 13.83 Mn |
| Dec 31, 2022 | 13.07 Mn |
| Sep 30, 2022 | 13.47 Mn |
| Jun 30, 2022 | 16.40 Mn |
| Mar 31, 2022 | 12.19 Mn |
| Dec 31, 2021 | 13.29 Mn |
| Sep 30, 2021 | 10.18 Mn |
Insmed Cost of Revenue 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=cost-of-revenue&ticker=INSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();