Insmed (INSM) Long-Term Debt Repayments (2010 - 2026)
Insmed (INSM) reported Long-Term Debt Repayments of $827,000 for Q2 2026, down 34.3% from $1.26 million a year earlier but up 3.5% from the prior quarter.
Insmed (INSM) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Insmed's Long-Term Debt Repayments came in at $2.62 million, down 20.8% year-over-year; for FY2025, it was $2.96 million, up 13.4% from FY2024.
- Long-Term Debt Repayments has increased for three consecutive years, though with a four-year compound annual growth rate of -66.1% (FY2021 to FY2025).
- By year, Long-Term Debt Repayments came in at $2.61 million in FY2024 (+114.5%), $1.22 million in FY2023 (+102.5%), $601,000 in FY2022 (-99.7%) and $225 million in FY2021.
- Five-year quarterly Long-Term Debt Repayments spans a low of -$1.17 million in Q4 2023 and a high of $1.26 million in Q2 2025.
- Year over year, Long-Term Debt Repayments gained in four of the last seven quarters, with an average decline of 0.8%.
- The high point for year-over-year Long-Term Debt Repayments in five years was Q2 2023 (growth of 619.3%); the low point was Q2 2022 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $799,000 (Q1 2026), $776,000 (Q4 2025) and $220,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,171.06 Bn | 1,139.65 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 634.89 Bn | 553.42 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.32 Bn | 476.44 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 377.44 Bn | 331.82 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 303.91 Bn | 267.90 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 267.03 Bn | 240.72 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 241.88 Bn | 197.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.01 Bn | 168.20 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 172.57 Bn | 119.21 Bn | 10.94 Bn | - |
| 10 | Insmed | 20.45 Bn | 14.95 Bn | 358.27 Mn | 827,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 827,000.00 |
| Mar 31, 2026 | 799,000.00 |
| Dec 31, 2025 | 776,000.00 |
| Sep 30, 2025 | 747,000.00 |
| Jun 30, 2025 | 2.70 Mn |
| Mar 31, 2025 | 706,000.00 |
| Dec 31, 2024 | 686,000.00 |
| Sep 30, 2024 | 658,000.00 |
| Jun 30, 2024 | 645,000.00 |
| Mar 31, 2024 | 621,000.00 |
| Dec 31, 2023 | -1.17 Mn |
| Sep 30, 2023 | 1.09 Mn |
| Jun 30, 2023 | 971,000.00 |
| Mar 31, 2023 | 320,000.00 |
| Dec 31, 2022 | -229,000.00 |
| Sep 30, 2022 | 336,000.00 |
| Jun 30, 2022 | 135,000.00 |
| Mar 31, 2022 | 359,000.00 |
| Dec 31, 2021 | 290,000.00 |
| Sep 30, 2021 | 269,000.00 |
Insmed Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=INSM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();