Adicet Bio (ACET) Research & Development (2017 - 2026)
Adicet Bio (ACET) reported Research & Development of $18.45 million for Q2 2026, down 35.1% from $28.42 million a year earlier but up 5.5% from the prior quarter.
Adicet Bio (ACET) Research & Development (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Adicet Bio's Research & Development came in at $83.83 million, down 16.8% year-over-year; for FY2025, it was $99.13 million, down 0.2% from FY2024.
- Research & Development has a five-year compound annual growth rate of 23.6% (FY2020 to FY2025).
- By year, Research & Development came in at $99.32 million in FY2024 (-6.3%), $106.04 million in FY2023 (+48.8%), $71.25 million in FY2022 (+45.6%) and $48.94 million in FY2021 (+42.5%).
- Five-year quarterly Research & Development spans a low of $11.93 million in Q3 2021 and a high of $28.42 million in Q2 2025.
- Year over year, Research & Development gained in three of the last eight quarters, with an average decline of 8.0%.
- The high point for year-over-year Research & Development in five years was Q1 2023 (growth of 98.4%); the low point was Q2 2026 (a decline of 35.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17.49 million (Q1 2026), $25.04 million (Q4 2025) and $22.85 million (Q3 2025).
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 | Adicet Bio | 66.84 Mn | -450.57 Mn | - | 18.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.45 Mn |
| Mar 31, 2026 | 17.49 Mn |
| Dec 31, 2025 | 25.04 Mn |
| Sep 30, 2025 | 22.85 Mn |
| Jun 30, 2025 | 28.42 Mn |
| Mar 31, 2025 | 22.81 Mn |
| Dec 31, 2024 | 23.27 Mn |
| Sep 30, 2024 | 26.25 Mn |
| Jun 30, 2024 | 25.90 Mn |
| Mar 31, 2024 | 23.90 Mn |
| Dec 31, 2023 | 24.76 Mn |
| Sep 30, 2023 | 26.17 Mn |
| Jun 30, 2023 | 28.36 Mn |
| Mar 31, 2023 | 26.76 Mn |
| Dec 31, 2022 | 25.02 Mn |
| Sep 30, 2022 | 16.57 Mn |
| Jun 30, 2022 | 16.18 Mn |
| Mar 31, 2022 | 13.48 Mn |
| Dec 31, 2021 | 14.66 Mn |
| Sep 30, 2021 | 11.93 Mn |
Adicet Bio 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=ACET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "ACET", "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=ACET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();