Neogen (NEOG) Research & Development (2010 - 2026)
Neogen's Research & Development came in at $6.5 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 27.5% from $5.1 million a year earlier and up 32.7% from the prior quarter.
Neogen (NEOG) Research & Development (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 31, 2026, Neogen reported Research & Development of $19.76 million, down 5.9% year-over-year; for FY2026 (ended May 31, 2026), it was $18.4 million, down 12.8% from FY2025.
- Research & Development has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- Going back by fiscal year, Research & Development was $21.1 million in FY2025 (-6.2%), $22.5 million in FY2024 (-13.6%), $26.04 million in FY2023 (+52.7%) and $17.05 million in FY2022 (+4.9%).
- The fiscal Q1 2027 figure represents the highest quarterly Research & Development since fiscal Q1 2024.
- Year-over-year, Research & Development increased in two of the last eight quarters, with an average decline of 2.4%.
- The fastest year-over-year change in Research & Development over five years came in fiscal Q4 2023 (growth of 84.1%), and the weakest in fiscal Q3 2024 (a decline of 33.1%).
- Business Quant data shows NEOG's Research & Development at $4.9 million (Q4 2026), $3.8 million (Q3 2026) and $4.56 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 348.00 Mn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 920.00 Mn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 433.00 Mn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | 408.30 Mn |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 433.00 Mn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 520.00 Mn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | 281.40 Mn |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 258.00 Mn |
| 10 | Neogen | 2.58 Bn | 1.92 Bn | 105.50 Mn | 6.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 6.50 Mn |
| May 31, 2026 | 4.90 Mn |
| Feb 28, 2026 | 3.80 Mn |
| Nov 30, 2025 | 4.56 Mn |
| Aug 31, 2025 | 5.10 Mn |
| May 31, 2025 | 6.30 Mn |
| Feb 28, 2025 | 4.50 Mn |
| Nov 30, 2024 | 5.11 Mn |
| Aug 31, 2024 | 5.20 Mn |
| May 31, 2024 | 5.17 Mn |
| Feb 29, 2024 | 4.85 Mn |
| Nov 30, 2023 | 5.76 Mn |
| Aug 31, 2023 | 6.72 Mn |
| May 31, 2023 | 7.05 Mn |
| Feb 28, 2023 | 7.26 Mn |
| Nov 30, 2022 | 6.85 Mn |
| Aug 31, 2022 | 4.88 Mn |
| May 31, 2022 | 3.83 Mn |
| Feb 28, 2022 | 4.56 Mn |
| Nov 30, 2021 | 4.33 Mn |
Neogen Research & Development 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=research-and-development&ticker=NEOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=NEOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();