Neogen (NEOG) Operating Expenses (2010 - 2026)
Neogen (NEOG) reported Operating Expenses of $107.3 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 3.4% from $111.1 million a year earlier but up 2.5% from the prior quarter.
Powered by 
Analysis
Neogen (NEOG) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 31, 2026, Neogen's Operating Expenses came in at $426.36 million, down 71.4% year-over-year; for FY2026 (ended May 31, 2026), it came in at $430.1 million, down 71.0% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 25.0% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $1.48 billion in FY2025 (+265.8%), $405.3 million in FY2024 (+10.0%), $368.44 million in FY2023 (+99.8%) and $184.4 million in FY2022 (+30.9%).
- Five-year quarterly Operating Expenses spans a low of $46.97 million in fiscal Q4 2022 and a high of $704.1 million in fiscal Q4 2025.
- Year over year, Operating Expenses has now declined in each of the last four quarters, with growth averaging 111.9% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2025 (growth of 600.6%); the low point was fiscal Q4 2026 (a decline of 85.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $104.7 million (Q4 2026), $102.3 million (Q3 2026) and $112.06 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.30 Bn | 239.33 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 170.90 Bn | 141.33 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 164.81 Bn | 148.62 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 152.46 Bn | 131.89 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 119.28 Bn | 84.53 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 112.91 Bn | 99.03 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 64.87 Bn | 59.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.24 Bn | 50.39 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.42 Bn | 34.43 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Neogen | 2.57 Bn | 1.91 Bn | 105.50 Mn | 107.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 107.30 Mn |
| May 31, 2026 | 104.70 Mn |
| Feb 28, 2026 | 102.30 Mn |
| Nov 30, 2025 | 112.06 Mn |
| Aug 31, 2025 | 111.10 Mn |
| May 31, 2025 | 704.10 Mn |
| Feb 28, 2025 | 104.90 Mn |
| Nov 30, 2024 | 570.81 Mn |
| Aug 31, 2024 | 102.67 Mn |
| May 31, 2024 | 100.51 Mn |
| Feb 29, 2024 | 104.86 Mn |
| Nov 30, 2023 | 102.31 Mn |
| Aug 31, 2023 | 97.63 Mn |
| May 31, 2023 | 99.76 Mn |
| Feb 28, 2023 | 92.28 Mn |
| Nov 30, 2022 | 120.20 Mn |
| Aug 31, 2022 | 56.21 Mn |
| May 31, 2022 | 46.97 Mn |
| Feb 28, 2022 | 51.04 Mn |
| Nov 30, 2021 | 48.13 Mn |
API Access
Neogen Operating 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=operating-expenses&ticker=NEOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=NEOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();