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 $1.05 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 24.1% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- In prior years, Insmed's Total Non-Current Liabilities was $1.6 billion in FY2024 (+1.2%), $1.58 billion in FY2023 (+3.9%), $1.52 billion in FY2022 (+100.3%) and $757.37 million in FY2021 (+48.2%).
- Quarterly Total Non-Current Liabilities has run from a low of $730.44 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 13.1%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q1 2022, with growth of 100.9%; the weakest was Q2 2025, with a decline of 37.1%.
- 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 $1.16 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Insmed | 25.24 Bn | 19.75 Bn | 358.27 Mn | 1.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Bn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 1.21 Bn |
| Sep 30, 2025 | 1.16 Bn |
| Jun 30, 2025 | 1.05 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 | 1.58 Bn |
| Sep 30, 2023 | 1.54 Bn |
| Jun 30, 2023 | 1.55 Bn |
| Mar 31, 2023 | 1.52 Bn |
| Dec 31, 2022 | 1.52 Bn |
| Sep 30, 2022 | 972.98 Mn |
| Jun 30, 2022 | 953.51 Mn |
| Mar 31, 2022 | 967.32 Mn |
| Dec 31, 2021 | 757.37 Mn |
| Sep 30, 2021 | 730.44 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();