AbCellera Biologics (ABCL) Revenue (2020 - 2026)
AbCellera Biologics (ABCL) recorded Revenue of $4.05 million in Q2 2026, down 76.3% from $17.08 million a year earlier and down 51.3% from the prior quarter.
AbCellera Biologics (ABCL) Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, AbCellera Biologics' Revenue came in at $66.17 million as of Jun 30, 2026, up 101.3% year-over-year; for FY2025, it was $75.13 million, up 160.6% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of -20.3% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $28.83 million in FY2024 (-24.2%), $38.03 million in FY2023 (-92.2%), $485.42 million in FY2022 (+29.4%) and $375.2 million in FY2021 (+60.9%).
- The Q2 2026 figure is the lowest quarterly Revenue in data going back to Q1 2020.
- On a year-over-year basis, Revenue rose in four of the last eight quarters, with growth averaging 109.4%.
- Peak year-over-year performance for Revenue in the last five years was growth of 788.2% in Q4 2025, against a decline of 96.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $8.32 million (Q1 2026), $44.85 million (Q4 2025) and $8.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 25.31 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 16.99 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 16.61 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 14.41 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 15.38 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 10.05 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 7.80 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 15.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 3.33 Bn |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | 4.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.05 Mn |
| Mar 31, 2026 | 8.32 Mn |
| Dec 31, 2025 | 44.85 Mn |
| Sep 30, 2025 | 8.96 Mn |
| Jun 30, 2025 | 17.08 Mn |
| Mar 31, 2025 | 4.24 Mn |
| Dec 31, 2024 | 5.05 Mn |
| Sep 30, 2024 | 6.51 Mn |
| Jun 30, 2024 | 7.32 Mn |
| Mar 31, 2024 | 9.95 Mn |
| Dec 31, 2023 | 9.18 Mn |
| Sep 30, 2023 | 6.60 Mn |
| Jun 30, 2023 | 10.06 Mn |
| Mar 31, 2023 | 12.19 Mn |
| Dec 31, 2022 | 21.55 Mn |
| Sep 30, 2022 | 101.38 Mn |
| Jun 30, 2022 | 45.92 Mn |
| Mar 31, 2022 | 316.58 Mn |
| Dec 31, 2021 | 139.33 Mn |
| Sep 30, 2021 | 5.51 Mn |
AbCellera Biologics Revenue 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=revenue&ticker=ABCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();