Neogen (NEOG) EBITDA (2010 - 2026)
Neogen's EBITDA was $27.8 million in fiscal Q1 2027 (quarter ended Aug 31, 2026), up 105.9% from $13.5 million a year earlier but down 15.8% from the prior quarter.
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Analysis
Neogen (NEOG) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Neogen's EBITDA was $110.92 million through Aug 31, 2026; for FY2026 (ended May 31, 2026), it was $96.7 million.
- EBITDA shows a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was -$938.3 million in FY2025, $178.7 million in FY2024 (+38.9%), $128.61 million in FY2023 (+56.2%) and $82.31 million in FY2022 (-13.5%).
- Quarterly EBITDA has moved between -$580.3 million (fiscal Q4 2025) and $52.72 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, EBITDA was higher in 1 of the last four quarters, with growth averaging 1.0%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q1 2024 (growth of 313.3%); the worst was fiscal Q1 2026 (a decline of 59.0%).
- Per Business Quant data, NEOG's EBITDA in the three fiscal quarters before Q1 2027 was $33 million (Q4 2026), $26.1 million (Q3 2026) and $24.03 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Neogen | 2.58 Bn | 1.92 Bn | 105.50 Mn | 27.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 27.80 Mn |
| May 31, 2026 | 33.00 Mn |
| Feb 28, 2026 | 26.10 Mn |
| Nov 30, 2025 | 24.03 Mn |
| Aug 31, 2025 | 13.50 Mn |
| May 31, 2025 | -580.30 Mn |
| Feb 28, 2025 | 35.63 Mn |
| Nov 30, 2024 | -426.58 Mn |
| Aug 31, 2024 | 32.92 Mn |
| May 31, 2024 | 42.64 Mn |
| Feb 29, 2024 | 42.53 Mn |
| Nov 30, 2023 | 44.79 Mn |
| Aug 31, 2023 | 48.73 Mn |
| May 31, 2023 | 52.72 Mn |
| Feb 28, 2023 | 44.02 Mn |
| Nov 30, 2022 | 20.08 Mn |
| Aug 31, 2022 | 11.79 Mn |
| May 31, 2022 | 23.89 Mn |
| Feb 28, 2022 | 12.70 Mn |
| Nov 30, 2021 | 18.30 Mn |
API Access
Neogen 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=ebitda&ticker=NEOG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=NEOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();