AbCellera Biologics (ABCL) Research & Development (2020 - 2026)
AbCellera Biologics (ABCL) reported Research & Development of $45.99 million for Q2 2026, up 17.3% from $39.21 million a year earlier but down 1.4% from the prior quarter.
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Analysis
AbCellera Biologics (ABCL) Research & Development (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, AbCellera Biologics' Research & Development came in at $197.77 million, up 17.2% year-over-year; for FY2025, it was $186.83 million, up 11.7% from FY2024.
- Research & Development has a five-year compound annual growth rate of 44.8% (FY2020 to FY2025).
- By year, Research & Development came in at $167.26 million in FY2024 (-4.8%), $175.66 million in FY2023 (+62.8%), $107.88 million in FY2022 (+73.8%) and $62.06 million in FY2021 (+111.1%).
- Five-year quarterly Research & Development spans a low of $17.21 million in Q4 2021 and a high of $55.03 million in Q3 2025.
- Year over year, Research & Development has now increased in each of the last four quarters, with growth averaging 9.6% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q3 2021 (growth of 132.8%); the low point was Q1 2024 (a decline of 25.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $46.66 million (Q1 2026), $50.09 million (Q4 2025) and $55.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 993.80 Mn |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | 45.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.99 Mn |
| Mar 31, 2026 | 46.66 Mn |
| Dec 31, 2025 | 50.09 Mn |
| Sep 30, 2025 | 55.03 Mn |
| Jun 30, 2025 | 39.21 Mn |
| Mar 31, 2025 | 42.50 Mn |
| Dec 31, 2024 | 46.08 Mn |
| Sep 30, 2024 | 40.97 Mn |
| Jun 30, 2024 | 40.93 Mn |
| Mar 31, 2024 | 39.29 Mn |
| Dec 31, 2023 | 48.62 Mn |
| Sep 30, 2023 | 37.92 Mn |
| Jun 30, 2023 | 36.47 Mn |
| Mar 31, 2023 | 52.65 Mn |
| Dec 31, 2022 | 28.25 Mn |
| Sep 30, 2022 | 26.58 Mn |
| Jun 30, 2022 | 26.69 Mn |
| Mar 31, 2022 | 26.37 Mn |
| Dec 31, 2021 | 17.21 Mn |
| Sep 30, 2021 | 17.45 Mn |
API Access
AbCellera Biologics 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=ABCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "ABCL", "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=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();