Inotiv (NOTVQ) Accumulated Expenses (2010 - 2026)
Inotiv's Accumulated Expenses came in at $34.18 million for fiscal Q2 2026 (quarter ended Mar 31, 2026), up 28.5% from $26.6 million a year earlier but down 16.9% from the prior quarter.
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Analysis
Inotiv (NOTVQ) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Inotiv's Accumulated Expenses was $44.72 million, up 58.5% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 73.4% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $28.22 million in FY2024 (+9.5%), $25.78 million in FY2023 (-28.0%), $35.8 million in FY2022 (+299.2%) and $8.97 million in FY2021 (+214.0%).
- The five-year range for quarterly Accumulated Expenses is $4.74 million (fiscal Q3 2021) to $44.72 million (fiscal Q4 2025).
- Year-over-year, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 25.0% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q2 2022 (growth of 605.7%), and the weakest in fiscal Q4 2023 (a decline of 28.0%).
- Business Quant data shows NOTVQ's Accumulated Expenses at $41.15 million (Q1 2026), $44.72 million (Q4 2025) and $35.92 million (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Iqvia Holdings | 42.93 Bn | 34.76 Bn | 1.44 Bn |
| 2 | Medpace Holdings | 16.69 Bn | 14.76 Bn | 201.64 Mn |
| 3 | Charles River Laboratories International | 13.69 Bn | 12.93 Bn | 363.37 Mn |
| 4 | Icon | 12.39 Bn | 9.50 Bn | 479.29 Mn |
| 5 | Fortrea Holdings | 1.84 Bn | 1.22 Bn | 139.20 Mn |
| 6 | Ginkgo Bioworks Holdings | 795.75 Mn | 33.67 Mn | 18.44 Mn |
| 7 | Evotec SE | 583.11 Mn | -990.11 Mn | - |
| 8 | Champions Oncology | 67.92 Mn | 43.57 Mn | 7.70 Mn |
| 9 | MindWalk Holdings | 62.13 Mn | 26.34 Mn | 1.61 Mn |
| 10 | Inotiv | 348,881.46 | -55.52 Mn | 24.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 34.18 Mn |
| Dec 31, 2025 | 41.15 Mn |
| Sep 30, 2025 | 44.72 Mn |
| Jun 30, 2025 | 35.92 Mn |
| Mar 31, 2025 | 26.60 Mn |
| Dec 31, 2024 | 25.50 Mn |
| Sep 30, 2024 | 28.22 Mn |
| Jun 30, 2024 | 28.06 Mn |
| Mar 31, 2024 | 31.10 Mn |
| Dec 31, 2023 | 23.44 Mn |
| Sep 30, 2023 | 25.78 Mn |
| Jun 30, 2023 | 23.45 Mn |
| Mar 31, 2023 | 30.96 Mn |
| Dec 31, 2022 | 28.58 Mn |
| Sep 30, 2022 | 35.80 Mn |
| Jun 30, 2022 | 28.49 Mn |
| Mar 31, 2022 | 20.69 Mn |
| Dec 31, 2021 | 23.52 Mn |
| Sep 30, 2021 | 8.97 Mn |
| Jun 30, 2021 | 4.74 Mn |
API Access
Inotiv 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=accumulated-expenses&ticker=NOTVQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NOTVQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();