Neogen (NEOG) Other Accumulated Expenses (2009 - 2026)
Neogen (NEOG) posted Other Accumulated Expenses of $27 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 11.5% from $30.51 million a year earlier but up 13.0% from the prior quarter.
Neogen (NEOG) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Neogen's Other Accumulated Expenses came in at $23.9 million, down 25.5% from FY2025.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 12.6% (FY2021 to FY2026).
- In prior fiscal years, Neogen's Other Accumulated Expenses was $32.1 million in FY2025 (+40.8%), $22.8 million in FY2024 (+8.9%), $20.93 million in FY2023 (-14.6%) and $24.52 million in FY2022 (+85.8%).
- Quarterly Other Accumulated Expenses has run from a low of $17.43 million in fiscal Q3 2023 to a high of $32.51 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in six of the last eight quarters, with growth averaging 12.4%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q3 2022, with growth of 120.3%; the weakest was fiscal Q3 2023, with a decline of 46.4%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $23.9 million (Q4 2026), $28.2 million (Q3 2026) and $30.77 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Neogen | 2.55 Bn | 1.88 Bn | 105.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 27.00 Mn |
| May 31, 2026 | 23.90 Mn |
| Feb 28, 2026 | 28.20 Mn |
| Nov 30, 2025 | 30.77 Mn |
| Aug 31, 2025 | 30.51 Mn |
| May 31, 2025 | 32.10 Mn |
| Feb 28, 2025 | 25.99 Mn |
| Nov 30, 2024 | 24.65 Mn |
| Aug 31, 2024 | 22.48 Mn |
| May 31, 2024 | 22.80 Mn |
| Feb 29, 2024 | 24.77 Mn |
| Nov 30, 2023 | 20.34 Mn |
| Aug 31, 2023 | 17.79 Mn |
| May 31, 2023 | 20.93 Mn |
| Feb 28, 2023 | 17.43 Mn |
| Nov 30, 2022 | 30.19 Mn |
| Aug 31, 2022 | 22.32 Mn |
| May 31, 2022 | 24.52 Mn |
| Feb 28, 2022 | 32.51 Mn |
| Nov 30, 2021 | 18.82 Mn |
Neogen Other Accumulated Expenses 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=other-accumulated-expenses&ticker=NEOG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=NEOG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();