Cooper Companies (COO) Long-Term Debt Repayments (2009 - 2026)
Cooper Companies' Long-Term Debt Repayments came in at $1.06 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 24.6% from $850.6 million a year earlier and up 20.9% from the prior quarter.
Cooper Companies (COO) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Cooper Companies reported Long-Term Debt Repayments of $3.75 billion, up 22.9% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $3.21 billion, down 8.6% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- Going back by fiscal year, Long-Term Debt Repayments was $3.51 billion in FY2024 (+79.5%), $1.95 billion in FY2023 (+248.0%), $561.5 million in FY2022 (-60.3%) and $1.42 billion in FY2021 (-56.2%).
- The fiscal Q3 2026 figure represents the highest quarterly Long-Term Debt Repayments since fiscal Q3 2024.
- Year-over-year, Long-Term Debt Repayments has increased for four consecutive quarters, with growth averaging 17.8% over the last eight quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in fiscal Q3 2024 (growth of 195.7%), and the weakest in fiscal Q2 2022 (a decline of 99.9%).
- Business Quant data shows COO's Long-Term Debt Repayments at $876 million (Q2 2026), $904.2 million (Q1 2026) and $910.5 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | - |
| 10 | Cooper Companies | 11.64 Bn | 11.11 Bn | 711.90 Mn | 1.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.06 Bn |
| Apr 30, 2026 | 876.00 Mn |
| Jan 31, 2026 | 904.20 Mn |
| Oct 31, 2025 | 910.50 Mn |
| Jul 31, 2025 | 850.60 Mn |
| Apr 30, 2025 | 714.60 Mn |
| Jan 31, 2025 | 729.50 Mn |
| Oct 31, 2024 | 757.60 Mn |
| Jul 31, 2024 | 1.49 Bn |
| Apr 30, 2024 | 663.30 Mn |
| Jan 31, 2024 | 593.10 Mn |
| Oct 31, 2023 | 463.50 Mn |
| Jul 31, 2023 | 504.90 Mn |
| Apr 30, 2023 | 559.20 Mn |
| Jan 31, 2023 | 426.30 Mn |
| Oct 31, 2022 | 11.90 Mn |
| Jul 31, 2022 | 600,000.00 |
| Apr 30, 2022 | 400,000.00 |
| Jan 31, 2022 | 548.60 Mn |
| Oct 31, 2021 | 396.60 Mn |
Cooper Companies 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=COO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "COO", "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=COO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();