Neogen (NEOG) EV to EBITDA (2011 - 2026)
Neogen's (NEOG) EV to EBITDA came in at 18.68 for fiscal Q4 2026 (quarter ended May 31, 2026).
Analysis
Neogen (NEOG) EV to EBITDA (2011 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Neogen's EV to EBITDA stood at 18.66.
- In prior fiscal years, Neogen's EV to EBITDA was 15.27 in FY2024 (-45.6%), 28.09 in FY2023 (-6.4%) and 30.02 in FY2022 (-37.6%).
- The fiscal Q4 2026 figure stands as the highest quarterly EV to EBITDA since fiscal Q1 2025.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was fiscal Q2 2023, with growth of 16.0%; the weakest was fiscal Q2 2024, with a decline of 62.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Neogen | 2.79 Bn | 2.16 Bn | 107.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 18.68 |
| Aug 31, 2024 | 22.68 |
| May 31, 2024 | 15.27 |
| Feb 29, 2024 | 19.18 |
| Nov 30, 2023 | 18.44 |
| Aug 31, 2023 | 29.40 |
| May 31, 2023 | 28.09 |
| Feb 28, 2023 | 37.19 |
| Nov 30, 2022 | 48.96 |
| Aug 31, 2022 | 28.59 |
| May 31, 2022 | 30.02 |
| Feb 28, 2022 | 41.02 |
| Nov 30, 2021 | 42.19 |
| Aug 31, 2021 | 43.48 |
| May 31, 2021 | 48.09 |
| Feb 28, 2021 | 42.96 |
| Nov 30, 2020 | 39.54 |
| Aug 31, 2020 | 41.36 |
| May 31, 2020 | 39.89 |
| Feb 29, 2020 | 34.19 |
API Access
Neogen EV to EBITDA 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=ev-to-ebitda&ticker=NEOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=NEOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();