Inhibitor Therapeutics (INTI) Operating Expenses (2012 - 2026)
Inhibitor Therapeutics (INTI) posted Operating Expenses of $618,597 for Q2 2026, down 11.1% from $695,773 a year earlier and down 11.1% from the prior quarter.
Inhibitor Therapeutics (INTI) Operating Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Inhibitor Therapeutics was $3.37 million, down 8.1% year-over-year; for FY2025, it was $3.43 million, down 6.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 26.5% (FY2020 to FY2025).
- In prior years, Inhibitor Therapeutics' Operating Expenses was $3.66 million in FY2024 (+7.4%), $3.4 million in FY2023 (+417.5%), $657,926 in FY2022 (+102.2%) and $325,395 in FY2021 (-69.3%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q2 2024.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 0.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2023, with growth of 985.2%; the weakest was Q3 2021, with a decline of 78.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $695,632 (Q1 2026), $1.32 million (Q4 2025) and $741,215 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 7.68 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 7.61 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Inhibitor Therapeutics | 13.90 Mn | 6.72 Mn | - | 618,597.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 618,597.00 |
| Mar 31, 2026 | 695,632.00 |
| Dec 31, 2025 | 1.32 Mn |
| Sep 30, 2025 | 741,215.00 |
| Jun 30, 2025 | 695,773.00 |
| Mar 31, 2025 | 674,551.00 |
| Dec 31, 2024 | 1.48 Mn |
| Sep 30, 2024 | 813,196.00 |
| Jun 30, 2024 | 585,147.00 |
| Mar 31, 2024 | 774,817.00 |
| Dec 31, 2023 | 1.27 Mn |
| Sep 30, 2023 | 759,528.00 |
| Jun 30, 2023 | 742,461.00 |
| Mar 31, 2023 | 629,724.00 |
| Dec 31, 2022 | 423,635.00 |
| Sep 30, 2022 | 69,987.00 |
| Jun 30, 2022 | 70,804.00 |
| Mar 31, 2022 | 93,500.00 |
| Dec 31, 2021 | 28,759.00 |
| Sep 30, 2021 | 66,248.00 |
Inhibitor Therapeutics 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=INTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "INTI", "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=INTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();