Neogen (NEOG) EV to EBITDA (2011 - 2026)
Neogen's (NEOG) EV to EBITDA came in at 21.20 for fiscal Q1 2027 (quarter ended Aug 31, 2026), up 15.9% from the prior quarter.
Neogen (NEOG) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Aug 31, 2026, EV to EBITDA at Neogen was 16.78; for FY2026 (ended May 31, 2026), it was 18.28.
- In prior fiscal years, Neogen's EV to EBITDA was 14.98 in FY2024 (-45.5%), 27.50 in FY2023 (-8.4%) and 30.02 in FY2022 (-37.6%).
- The fiscal Q1 2027 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 14.4%; the weakest was fiscal Q2 2024, with a decline of 62.5%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Neogen | 2.58 Bn | 1.92 Bn | 105.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 21.20 |
| May 31, 2026 | 18.29 |
| Aug 31, 2024 | 22.21 |
| May 31, 2024 | 14.98 |
| Feb 29, 2024 | 18.83 |
| Nov 30, 2023 | 18.10 |
| Aug 31, 2023 | 28.76 |
| May 31, 2023 | 27.50 |
| Feb 28, 2023 | 36.50 |
| Nov 30, 2022 | 48.25 |
| 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 |
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();