In8Bio (INAB) Research & Development (2020 - 2026)
In8Bio's Research & Development came in at $2.49 million for Q2 2026, up 0.2% from $2.49 million a year earlier but down 4.6% from the prior quarter.
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Analysis
In8Bio (INAB) Research & Development (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, In8Bio reported Research & Development of $9.86 million, down 20.3% year-over-year; for FY2025, it came in at $10.21 million, down 39.8% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- Going back by year, Research & Development was $16.96 million in FY2024 (+0.8%), $16.83 million in FY2023 (+19.7%), $14.06 million in FY2022 (+91.4%) and $7.35 million in FY2021 (+36.6%).
- The five-year range for quarterly Research & Development is $1.35 million (Q3 2021) to $5.16 million (Q2 2024).
- Year-over-year, Research & Development increased in 1 of the last eight quarters, with an average decline of 24.9%.
- The fastest year-over-year change in Research & Development over five years came in Q3 2022 (growth of 215.2%), and the weakest in Q2 2025 (a decline of 51.8%).
- Business Quant data shows INAB's Research & Development at $2.61 million (Q1 2026), $2.65 million (Q4 2025) and $2.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 993.80 Mn |
| 10 | In8Bio | 25.89 Mn | 25.89 Mn | - | 2.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.49 Mn |
| Mar 31, 2026 | 2.61 Mn |
| Dec 31, 2025 | 2.65 Mn |
| Sep 30, 2025 | 2.10 Mn |
| Jun 30, 2025 | 2.49 Mn |
| Mar 31, 2025 | 2.97 Mn |
| Dec 31, 2024 | 3.59 Mn |
| Sep 30, 2024 | 3.31 Mn |
| Jun 30, 2024 | 5.16 Mn |
| Mar 31, 2024 | 4.90 Mn |
| Dec 31, 2023 | 4.52 Mn |
| Sep 30, 2023 | 3.79 Mn |
| Jun 30, 2023 | 4.13 Mn |
| Mar 31, 2023 | 4.39 Mn |
| Dec 31, 2022 | 3.92 Mn |
| Sep 30, 2022 | 4.26 Mn |
| Jun 30, 2022 | 3.50 Mn |
| Mar 31, 2022 | 2.38 Mn |
| Dec 31, 2021 | 2.69 Mn |
| Sep 30, 2021 | 1.35 Mn |
API Access
In8Bio Research & Development 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=research-and-development&ticker=INAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=INAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();