MiNK Therapeutics (INKT) Operating Expenses (2020 - 2026)
MiNK Therapeutics' Operating Expenses was $3.22 million in Q2 2026, down 12.8% from $3.69 million a year earlier but up 11.6% from the prior quarter.
MiNK Therapeutics (INKT) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, MiNK Therapeutics' Operating Expenses was $12.36 million through Jun 30, 2026, up 21.9% year-over-year; for FY2025, it was $12.49 million, up 17.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $10.65 million in FY2024 (-53.5%), $22.92 million in FY2023 (-25.9%), $30.95 million in FY2022 (+66.3%) and $18.61 million in FY2021 (+72.3%).
- Quarterly Operating Expenses has moved between $1.7 million (Q3 2024) and $7.99 million (Q3 2022) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last eight quarters, with an average decline of 1.2%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 99.7%); the worst was Q3 2024 (a decline of 67.4%).
- Per Business Quant data, INKT's Operating Expenses in the three quarters before Q2 2026 was $2.88 million (Q1 2026), $3.28 million (Q4 2025) and $2.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 6.68 Bn |
| 10 | MiNK Therapeutics | 51.27 Mn | 10.08 Mn | - | 3.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.22 Mn |
| Mar 31, 2026 | 2.88 Mn |
| Dec 31, 2025 | 3.28 Mn |
| Sep 30, 2025 | 2.99 Mn |
| Jun 30, 2025 | 3.69 Mn |
| Mar 31, 2025 | 2.53 Mn |
| Dec 31, 2024 | 2.21 Mn |
| Sep 30, 2024 | 1.70 Mn |
| Jun 30, 2024 | 2.90 Mn |
| Mar 31, 2024 | 3.83 Mn |
| Dec 31, 2023 | 5.50 Mn |
| Sep 30, 2023 | 5.22 Mn |
| Jun 30, 2023 | 6.34 Mn |
| Mar 31, 2023 | 5.85 Mn |
| Dec 31, 2022 | 7.89 Mn |
| Sep 30, 2022 | 7.99 Mn |
| Jun 30, 2022 | 7.70 Mn |
| Mar 31, 2022 | 7.37 Mn |
| Dec 31, 2021 | 6.31 Mn |
| Sep 30, 2021 | 4.15 Mn |
MiNK 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=INKT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "INKT", "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=INKT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();