In8Bio (INAB) Operating Expenses (2020 - 2026)
In8Bio's Operating Expenses was $4.94 million in Q2 2026, down 5.1% from $5.2 million a year earlier and down 6.3% from the prior quarter.
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Analysis
In8Bio (INAB) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, In8Bio's Operating Expenses was $19.2 million through Jun 30, 2026, down 20.6% year-over-year; for FY2025, it was $19.86 million, down 35.2% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $30.67 million in FY2024 (+1.1%), $30.34 million in FY2023 (+6.4%), $28.52 million in FY2022 (+94.6%) and $14.65 million in FY2021 (+71.2%).
- Quarterly Operating Expenses has moved between $3.39 million (Q3 2021) and $8.69 million (Q2 2024) over five years.
- Compared with a year earlier, Operating Expenses has declined for eight straight quarters, with an average decline of 21.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 160.1%); the worst was Q3 2025 (a decline of 44.2%).
- Per Business Quant data, INAB's Operating Expenses in the three quarters before Q2 2026 was $5.27 million (Q1 2026), $5.03 million (Q4 2025) and $3.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | In8Bio | 25.89 Mn | 25.89 Mn | - | 4.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.94 Mn |
| Mar 31, 2026 | 5.27 Mn |
| Dec 31, 2025 | 5.03 Mn |
| Sep 30, 2025 | 3.97 Mn |
| Jun 30, 2025 | 5.20 Mn |
| Mar 31, 2025 | 5.66 Mn |
| Dec 31, 2024 | 6.22 Mn |
| Sep 30, 2024 | 7.11 Mn |
| Jun 30, 2024 | 8.69 Mn |
| Mar 31, 2024 | 8.65 Mn |
| Dec 31, 2023 | 7.60 Mn |
| Sep 30, 2023 | 7.17 Mn |
| Jun 30, 2023 | 7.72 Mn |
| Mar 31, 2023 | 7.86 Mn |
| Dec 31, 2022 | 7.80 Mn |
| Sep 30, 2022 | 7.40 Mn |
| Jun 30, 2022 | 7.18 Mn |
| Mar 31, 2022 | 6.15 Mn |
| Dec 31, 2021 | 5.85 Mn |
| Sep 30, 2021 | 3.39 Mn |
API Access
In8Bio 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=INAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "INAB", "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=INAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();