Inotiv (NOTVQ) Operating Expenses (2010 - 2026)
Inotiv's Operating Expenses came in at $17.64 million for fiscal Q2 2026 (quarter ended Mar 31, 2026), up 2.9% from $17.15 million a year earlier but down 4.6% from the prior quarter.
Inotiv (NOTVQ) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Inotiv reported Operating Expenses of $70.93 million, down 3.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $71.1 million, down 7.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 27.3% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $77.03 million in FY2024 (-26.4%), $104.71 million in FY2023 (+6.2%), $98.56 million in FY2022 (+175.5%) and $35.77 million in FY2021 (+68.0%).
- The five-year range for quarterly Operating Expenses is $9.35 million (fiscal Q3 2021) to $30.03 million (fiscal Q2 2023).
- Year-over-year, Operating Expenses increased in two of the last eight quarters, with an average decline of 9.0%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2022 (growth of 276.3%), and the weakest in fiscal Q3 2024 (a decline of 34.7%).
- Business Quant data shows NOTVQ's Operating Expenses at $18.49 million (Q1 2026), $16.92 million (Q4 2025) and $17.88 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Iqvia Holdings | 44.30 Bn | 36.13 Bn | 1.44 Bn | 637.00 Mn |
| 2 | Medpace Holdings | 17.36 Bn | 15.43 Bn | 201.64 Mn | 560.51 Mn |
| 3 | Charles River Laboratories International | 14.14 Bn | 13.38 Bn | 363.37 Mn | 228.90 Mn |
| 4 | Icon | 13.04 Bn | 10.15 Bn | 479.29 Mn | 1.93 Bn |
| 5 | Fortrea Holdings | 1.88 Bn | 1.26 Bn | 139.20 Mn | 663.40 Mn |
| 6 | Ginkgo Bioworks Holdings | 762.62 Mn | 537,907.95 | 18.44 Mn | 78.70 Mn |
| 7 | Evotec SE | 583.11 Mn | -990.11 Mn | - | - |
| 8 | Champions Oncology | 68.48 Mn | 44.13 Mn | 7.70 Mn | 15.64 Mn |
| 9 | MindWalk Holdings | 64.46 Mn | 28.68 Mn | 1.61 Mn | 6.01 Mn |
| 10 | Inotiv | 348,881.46 | -55.52 Mn | 24.65 Mn | 17.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 17.64 Mn |
| Dec 31, 2025 | 18.49 Mn |
| Sep 30, 2025 | 16.92 Mn |
| Jun 30, 2025 | 17.88 Mn |
| Mar 31, 2025 | 17.15 Mn |
| Dec 31, 2024 | 19.15 Mn |
| Sep 30, 2024 | 20.53 Mn |
| Jun 30, 2024 | 16.78 Mn |
| Mar 31, 2024 | 19.80 Mn |
| Dec 31, 2023 | 19.93 Mn |
| Sep 30, 2023 | 22.41 Mn |
| Jun 30, 2023 | 25.71 Mn |
| Mar 31, 2023 | 30.03 Mn |
| Dec 31, 2022 | 29.28 Mn |
| Sep 30, 2022 | 27.73 Mn |
| Jun 30, 2022 | 26.51 Mn |
| Mar 31, 2022 | 23.43 Mn |
| Dec 31, 2021 | 22.06 Mn |
| Sep 30, 2021 | 13.72 Mn |
| Jun 30, 2021 | 9.35 Mn |
Inotiv Operating 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=operating-expenses&ticker=NOTVQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NOTVQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=NOTVQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();