Neogen (NEOG) Long-Term Debt Repayments (2023 - 2026)
Neogen's Long-Term Debt Repayments came in at $20 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 80.0% from $100 million a year earlier.
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Analysis
Neogen (NEOG) Long-Term Debt Repayments (2023 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Neogen's Long-Term Debt Repayments was $100 million, down 81.8% from FY2025.
- Long-Term Debt Repayments carries a three-year compound annual growth rate of 0.0% (FY2023 to FY2026).
- Going back by fiscal year, Long-Term Debt Repayments was $550 million in FY2025 and $100 million in FY2023.
- The fiscal Q1 2027 figure represents the lowest quarterly Long-Term Debt Repayments since fiscal Q3 2025.
Peer Set
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 | Neogen | 2.58 Bn | 1.92 Bn | 105.50 Mn | 20.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 20.00 Mn |
| May 31, 2026 | -100,000.00 |
| Feb 28, 2026 | 25,000.00 |
| Nov 30, 2025 | -25,000.00 |
| Aug 31, 2025 | 100.10 Mn |
| May 31, 2025 | 549.80 Mn |
| Feb 28, 2025 | 27,000.00 |
| Nov 30, 2024 | 75,000.00 |
| Aug 31, 2024 | 98,000.00 |
| May 31, 2024 | -348,000.00 |
| Feb 29, 2024 | -41,000.00 |
| Nov 30, 2023 | 389,000.00 |
| Feb 28, 2023 | 40.00 Mn |
API Access
Neogen 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=NEOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "NEOG", "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=NEOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();