Insmed (INSM) Total Liabilities (2010 - 2026)
Insmed (INSM) posted Total Liabilities of $1.35 billion for Q2 2026, up 9.3% from $1.23 billion a year earlier but down 1.9% from the prior quarter.
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Analysis
Insmed (INSM) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Insmed's Total Liabilities came in at $1.53 billion, down 12.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- In prior years, Insmed's Total Liabilities was $1.74 billion in FY2024 (+4.7%), $1.66 billion in FY2023 (+5.9%), $1.57 billion in FY2022 (+88.3%) and $833.04 million in FY2021 (+60.1%).
- Quarterly Total Liabilities has run from a low of $806.93 million in Q3 2021 to a high of $1.77 billion in Q2 2024 over five years.
- On a year-over-year basis, Total Liabilities increased in three of the last eight quarters, with an average decline of 7.0%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2022, with growth of 110.6%; the weakest was Q2 2025, with a decline of 30.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.37 billion (Q1 2026), $1.53 billion (Q4 2025) and $1.42 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Insmed | 25.69 Bn | 20.19 Bn | 358.27 Mn | 1.35 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Bn |
| Mar 31, 2026 | 1.37 Bn |
| Dec 31, 2025 | 1.53 Bn |
| Sep 30, 2025 | 1.42 Bn |
| Jun 30, 2025 | 1.23 Bn |
| Mar 31, 2025 | 1.70 Bn |
| Dec 31, 2024 | 1.74 Bn |
| Sep 30, 2024 | 1.57 Bn |
| Jun 30, 2024 | 1.77 Bn |
| Mar 31, 2024 | 1.62 Bn |
| Dec 31, 2023 | 1.66 Bn |
| Sep 30, 2023 | 1.61 Bn |
| Jun 30, 2023 | 1.59 Bn |
| Mar 31, 2023 | 1.56 Bn |
| Dec 31, 2022 | 1.57 Bn |
| Sep 30, 2022 | 1.02 Bn |
| Jun 30, 2022 | 1.01 Bn |
| Mar 31, 2022 | 1.03 Bn |
| Dec 31, 2021 | 833.04 Mn |
| Sep 30, 2021 | 806.93 Mn |
API Access
Insmed Total Liabilities 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=total-liabilities&ticker=INSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();