AbCellera Biologics (ABCL) Intangibles (2020 - 2026)
AbCellera Biologics (ABCL) posted Intangibles of $36.53 million for Q2 2026, down 9.3% from $40.26 million a year earlier and down 2.5% from the prior quarter.
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Analysis
AbCellera Biologics (ABCL) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, AbCellera Biologics' Intangibles came in at $38.38 million, down 8.9% from FY2024.
- Annual Intangibles has declined for four consecutive years, with a five-year compound annual growth rate of -19.7% (FY2020 to FY2025).
- In prior years, AbCellera Biologics' Intangibles was $42.11 million in FY2024 (-65.0%), $120.43 million in FY2023 (-8.4%), $131.5 million in FY2022 (-11.4%) and $148.39 million in FY2021 (+28.9%).
- The Q2 2026 figure stands as the lowest quarterly Intangibles in data going back to Q4 2020.
- On a year-over-year basis, Intangibles has declined in each of the last 16 quarters, with an average decline of 36.7% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was Q2 2022, with growth of 29.9%; the weakest was Q1 2025, with a decline of 65.3%.
- According to Business Quant data, Intangibles for the three prior quarters was $37.46 million (Q1 2026), $38.38 million (Q4 2025) and $39.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 48.23 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 49.14 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 24.98 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 42.07 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 37.72 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 20.49 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 14.03 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 47.05 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 412.80 Mn |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | 36.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.53 Mn |
| Mar 31, 2026 | 37.46 Mn |
| Dec 31, 2025 | 38.38 Mn |
| Sep 30, 2025 | 39.32 Mn |
| Jun 30, 2025 | 40.26 Mn |
| Mar 31, 2025 | 41.19 Mn |
| Dec 31, 2024 | 42.11 Mn |
| Sep 30, 2024 | 52.58 Mn |
| Jun 30, 2024 | 85.66 Mn |
| Mar 31, 2024 | 118.74 Mn |
| Dec 31, 2023 | 120.43 Mn |
| Sep 30, 2023 | 124.08 Mn |
| Jun 30, 2023 | 126.75 Mn |
| Mar 31, 2023 | 128.85 Mn |
| Dec 31, 2022 | 131.50 Mn |
| Sep 30, 2022 | 142.55 Mn |
| Jun 30, 2022 | 143.18 Mn |
| Mar 31, 2022 | 145.79 Mn |
| Dec 31, 2021 | 148.39 Mn |
| Sep 30, 2021 | 148.82 Mn |
API Access
AbCellera Biologics Intangibles 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=intangibles&ticker=ABCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();