Neogen (NEOG) Cost of Revenue (2010 - 2026)
Neogen (NEOG) recorded Cost of Revenue of $117.5 million in fiscal Q4 2026 (quarter ended May 31, 2026), down 11.4% from $132.6 million a year earlier but up 4.7% from the prior quarter.
Neogen (NEOG) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Neogen reported Cost of Revenue of $461.9 million, down 2.4% from FY2025.
- Annual Cost of Revenue has a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $473.3 million in FY2025 (+2.8%), $460.3 million in FY2024 (+10.5%), $416.49 million in FY2023 (+46.6%) and $284.15 million in FY2022 (+12.1%).
- Quarterly Cost of Revenue has ranged from $68.3 million in fiscal Q1 2022 to $132.6 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue rose in five of the last eight quarters, with growth averaging 0.3%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 68.0% in fiscal Q2 2023, against a decline of 11.4% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $112.2 million (Q3 2026), $118.01 million (Q2 2026) and $114.22 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Neogen | 2.65 Bn | 2.02 Bn | 107.80 Mn | 117.50 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 117.50 Mn |
| Feb 28, 2026 | 112.20 Mn |
| Nov 30, 2025 | 118.01 Mn |
| Aug 31, 2025 | 114.22 Mn |
| May 31, 2025 | 132.60 Mn |
| Feb 28, 2025 | 110.70 Mn |
| Nov 30, 2024 | 117.93 Mn |
| Aug 31, 2024 | 112.04 Mn |
| May 31, 2024 | 123.29 Mn |
| Feb 29, 2024 | 111.93 Mn |
| Nov 30, 2023 | 112.86 Mn |
| Aug 31, 2023 | 112.23 Mn |
| May 31, 2023 | 118.63 Mn |
| Feb 28, 2023 | 110.29 Mn |
| Nov 30, 2022 | 117.49 Mn |
| Aug 31, 2022 | 70.08 Mn |
| May 31, 2022 | 75.09 Mn |
| Feb 28, 2022 | 70.83 Mn |
| Nov 30, 2021 | 69.92 Mn |
| Aug 31, 2021 | 68.30 Mn |
Neogen Cost of Revenue 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=cost-of-revenue&ticker=NEOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=NEOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();