Insmed (INSM) Total Current Liabilities (2010 - 2026)
Insmed's Total Current Liabilities came in at $596.58 million for Q3 2026, up 43.0% from $417.21 million a year earlier and up 36.0% from the prior quarter.
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Analysis
Insmed (INSM) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Insmed's Total Current Liabilities was $468.87 million, up 57.6% from FY2024.
- Total Current Liabilities has increased in each of the last 15 years, with a five-year compound annual growth rate of 31.6% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $297.53 million in FY2024 (+31.9%), $225.63 million in FY2023 (+18.6%), $190.24 million in FY2022 (+40.7%) and $135.17 million in FY2021 (+13.8%).
- The Q3 2026 figure represents the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- Year-over-year, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 25.2% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2024 (growth of 156.6%), and the weakest in Q1 2025 (a decline of 43.2%).
- Business Quant data shows INSM's Total Current Liabilities at $438.74 million (Q2 2026), $361.01 million (Q1 2026) and $468.87 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Insmed | 25.82 Bn | 20.86 Bn | 446.21 Mn | 596.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 596.58 Mn |
| Jun 30, 2026 | 438.74 Mn |
| Mar 31, 2026 | 361.01 Mn |
| Dec 31, 2025 | 468.87 Mn |
| Sep 30, 2025 | 417.21 Mn |
| Jun 30, 2025 | 311.68 Mn |
| Mar 31, 2025 | 239.23 Mn |
| Dec 31, 2024 | 297.53 Mn |
| Sep 30, 2024 | 259.19 Mn |
| Jun 30, 2024 | 524.15 Mn |
| Mar 31, 2024 | 420.86 Mn |
| Dec 31, 2023 | 225.63 Mn |
| Sep 30, 2023 | 196.73 Mn |
| Jun 30, 2023 | 204.26 Mn |
| Mar 31, 2023 | 187.98 Mn |
| Dec 31, 2022 | 190.24 Mn |
| Sep 30, 2022 | 137.65 Mn |
| Jun 30, 2022 | 113.82 Mn |
| Mar 31, 2022 | 125.25 Mn |
| Dec 31, 2021 | 135.17 Mn |
API Access
Insmed Total 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-current-liabilities&ticker=INSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();