Icu Medical (ICUI) Long-Term Debt Repayments (2020 - 2026)
Icu Medical's Long-Term Debt Repayments came in at $50 million for Q2 2026, down 75.0% from $200 million a year earlier but up 966.6% from the prior quarter.
Icu Medical (ICUI) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Icu Medical reported Long-Term Debt Repayments of $109.69 million, down 59.9% year-over-year; for FY2025, it came in at $302.75 million, up 493.6% from FY2024.
- Long-Term Debt Repayments has increased in each of the last three years, with a five-year compound annual growth rate of 285.2% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $51 million in FY2024 (+71.8%), $29.69 million in FY2023 (+32.7%), $22.38 million in FY2022 and $607,000 in FY2021 (+70.0%).
- The five-year range for quarterly Long-Term Debt Repayments is $152,000 (Q3 2021) to $200 million (Q2 2025).
- Year-over-year, Long-Term Debt Repayments increased in five of the last seven quarters, with growth averaging 69.1%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2025 (growth of 274.5%), and the weakest in Q1 2026 (a decline of 90.2%).
- Business Quant data shows ICUI's Long-Term Debt Repayments at $4.69 million (Q1 2026), $30 million (Q4 2025) and $25 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Icu Medical | 4.02 Bn | 2.83 Bn | 235.05 Mn | 50.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.64 Mn |
| Mar 31, 2026 | 5.35 Mn |
| Dec 31, 2025 | 30.51 Mn |
| Sep 30, 2025 | 25.66 Mn |
| Jun 30, 2025 | 200.56 Mn |
| Mar 31, 2025 | 48.08 Mn |
| Dec 31, 2024 | 13.12 Mn |
| Sep 30, 2024 | 13.01 Mn |
| Jun 30, 2024 | 13.02 Mn |
| Mar 31, 2024 | 13.00 Mn |
| Dec 31, 2023 | 7.72 Mn |
| Sep 30, 2023 | 7.68 Mn |
| Jun 30, 2023 | 7.67 Mn |
| Mar 31, 2023 | 7.58 Mn |
| Dec 31, 2022 | 2.33 Mn |
| Sep 30, 2022 | 2.28 Mn |
| Jun 30, 2022 | 2.29 Mn |
| Mar 31, 2022 | 16.16 Mn |
| Dec 31, 2021 | 159,000.00 |
| Sep 30, 2021 | 152,000.00 |
Icu Medical 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=ICUI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ICUI", "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=ICUI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();