Insmed (INSM) Total Non-Current Liabilities (2010 - 2026)
Insmed (INSM) posted Total Non-Current Liabilities of $1.17 billion for Q2 2026, up 11.9% from $1.04 billion a year earlier and up 6.7% from the prior quarter.
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Analysis
Insmed (INSM) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Insmed's Total Non-Current Liabilities came in at $1.21 billion, down 24.4% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- In prior years, Insmed's Total Non-Current Liabilities was $1.6 billion in FY2024 (+1.3%), $1.57 billion in FY2023 (+4.4%), $1.51 billion in FY2022 (+104.5%) and $737.3 million in FY2021 (+44.3%).
- Quarterly Total Non-Current Liabilities has run from a low of $706.56 million in Q3 2021 to a high of $1.67 billion in Q2 2024 over five years.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 13.2%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2022, with growth of 104.5%; the weakest was Q2 2025, with a decline of 37.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $1.1 billion (Q1 2026), $1.21 billion (Q4 2025) and $1.15 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Insmed | 25.82 Bn | 20.86 Bn | 446.21 Mn | 1.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.32 Bn |
| Jun 30, 2026 | 1.17 Bn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 1.21 Bn |
| Sep 30, 2025 | 1.15 Bn |
| Jun 30, 2025 | 1.04 Bn |
| Mar 31, 2025 | 1.54 Bn |
| Dec 31, 2024 | 1.60 Bn |
| Sep 30, 2024 | 1.41 Bn |
| Jun 30, 2024 | 1.67 Bn |
| Mar 31, 2024 | 1.56 Bn |
| Dec 31, 2023 | 1.57 Bn |
| Sep 30, 2023 | 1.54 Bn |
| Jun 30, 2023 | 1.54 Bn |
| Mar 31, 2023 | 1.51 Bn |
| Dec 31, 2022 | 1.51 Bn |
| Sep 30, 2022 | 961.64 Mn |
| Jun 30, 2022 | 939.13 Mn |
| Mar 31, 2022 | 951.79 Mn |
| Dec 31, 2021 | 737.30 Mn |
API Access
Insmed Total Non-Current 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-non-current-liabilities&ticker=INSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();