Insmed (INSM) Non Operating Interest Expenses (2009 - 2026)
Insmed (INSM) reported Non Operating Interest Expenses of $20.41 million for Q3 2026, up 0.1% from $20.38 million a year earlier and up 0.7% from the prior quarter.
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Analysis
Insmed (INSM) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Insmed's Non Operating Interest Expenses came in at $81.36 million, down 4.0% year-over-year; for FY2025, it was $83.8 million, down 1.3% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 23.2% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $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%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $3.29 million in Q1 2022 and a high of $21.57 million in Q1 2025.
- Year over year, Non Operating Interest Expenses gained in three of the last eight quarters, with an average decline of 1.6%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2023 (growth of 514.2%); the low point was Q3 2022 (a decline of 70.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $20.27 million (Q2 2026), $20.08 million (Q1 2026) and $20.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Insmed | 26.21 Bn | 21.25 Bn | 446.21 Mn | 20.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 20.41 Mn |
| 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 |
API Access
Insmed Non Operating 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=non-operating-interest-expenses&ticker=INSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();