Neogen (NEOG) Non Operating Interest Expenses (2023 - 2024)
Neogen's Non Operating Interest Expenses was $24.1 million in FY2026 (year ended May 31, 2026), down 36.7% from $38.1 million in FY2025.
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Analysis
Neogen (NEOG) Non Operating Interest Expenses (2023 - 2024) Analysis & Trends
From FY2023 onward, Neogen has reported Non Operating Interest Expenses for 4 fiscal years.
- Non Operating Interest Expenses shows a three-year compound annual growth rate of -4.0% (FY2023 to FY2026).
- Per Business Quant data, Non Operating Interest Expenses in earlier fiscal years was $38.1 million in FY2025 (-9.6%), $42.15 million in FY2024 (+54.7%) and $27.25 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Neogen | 2.79 Bn | 2.16 Bn | 107.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2024 | 10.79 Mn |
| Feb 29, 2024 | 10.50 Mn |
| Nov 30, 2023 | 10.27 Mn |
| Aug 31, 2023 | 10.60 Mn |
| May 31, 2023 | 9.87 Mn |
| Feb 28, 2023 | 9.06 Mn |
API Access
Neogen Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=NEOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=NEOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();