Insmed (INSM) Interest Expenses (2011 - 2026)
Insmed (INSM) posted Interest Expenses of $20.27 million for Q2 2026, down 4.6% from $21.25 million a year earlier but up 1.0% from the prior quarter.
Insmed (INSM) Interest Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Insmed was $81.34 million, down 4.8% year-over-year; for FY2025, it came in at $83.8 million, down 1.3% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 23.2% (FY2020 to FY2025).
- In prior years, Insmed's Interest Expenses was $84.91 million in FY2024 (+3.9%), $81.69 million in FY2023 (+208.9%), $26.45 million in FY2022 (-34.7%) and $40.47 million in FY2021 (+36.9%).
- Quarterly Interest Expenses has run from a low of $3.29 million in Q1 2022 to a high of $21.57 million in Q1 2025 over five years.
- On a year-over-year basis, Interest Expenses has declined in each of the last five quarters, with an average decline of 1.2% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q2 2023, with growth of 514.2%; the weakest was Q3 2022, with a decline of 70.2%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $20.08 million (Q1 2026), $20.6 million (Q4 2025) and $20.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Insmed | 24.91 Bn | 19.42 Bn | 358.27 Mn | 20.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.27 Mn |
| Mar 31, 2026 | 20.08 Mn |
| Dec 31, 2025 | 20.60 Mn |
| Sep 30, 2025 | 20.38 Mn |
| Jun 30, 2025 | 21.25 Mn |
| Mar 31, 2025 | 21.57 Mn |
| Dec 31, 2024 | 21.55 Mn |
| Sep 30, 2024 | 21.05 Mn |
| Jun 30, 2024 | 21.27 Mn |
| Mar 31, 2024 | 21.04 Mn |
| Dec 31, 2023 | 20.78 Mn |
| Sep 30, 2023 | 20.29 Mn |
| Jun 30, 2023 | 20.62 Mn |
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | 16.45 Mn |
| Sep 30, 2022 | 3.35 Mn |
| Jun 30, 2022 | 3.36 Mn |
| Mar 31, 2022 | 3.29 Mn |
| Dec 31, 2021 | 11.35 Mn |
| Sep 30, 2021 | 11.25 Mn |
Insmed Interest Expenses 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=interest-expenses&ticker=INSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();