AbCellera Biologics (ABCL) Amortizatization of Intangibles (2020 - 2026)
AbCellera Biologics (ABCL) reported Amortizatization of Intangibles of $931,000 for Q2 2026, up 0.2% from $929,000 a year earlier and up 1.2% from the prior quarter.
AbCellera Biologics (ABCL) Amortizatization of Intangibles (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, AbCellera Biologics' Amortizatization of Intangibles came in at $3.73 million, down 91.8% year-over-year; for FY2025, it came in at $3.73 million, down 95.2% from FY2024.
- Amortizatization of Intangibles has a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- By year, Amortizatization of Intangibles came in at $78.31 million in FY2024 (+573.0%), $11.64 million in FY2023 (-38.4%), $18.89 million in FY2022 (+87.7%) and $10.06 million in FY2021 (+299.4%).
- Five-year quarterly Amortizatization of Intangibles spans a low of $920,000 in Q1 2026 and a high of $33.09 million in Q3 2024.
- Year over year, Amortizatization of Intangibles gained in two of the last seven quarters, with an average decline of 20.6%.
- The high point for year-over-year Amortizatization of Intangibles in five years was Q4 2022 (growth of 320.0%); the low point was Q2 2025 (a decline of 97.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $920,000 (Q1 2026), $941,000 (Q4 2025) and $940,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | - |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 1.70 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 984.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | - |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 600.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | - |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | 931,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 931,000.00 |
| Mar 31, 2026 | 920,000.00 |
| Dec 31, 2025 | 941,000.00 |
| Sep 30, 2025 | 940,000.00 |
| Jun 30, 2025 | 929,000.00 |
| Mar 31, 2025 | 922,000.00 |
| Dec 31, 2024 | 10.46 Mn |
| Sep 30, 2024 | 33.09 Mn |
| Jun 30, 2024 | 33.07 Mn |
| Mar 31, 2024 | 1.69 Mn |
| Dec 31, 2023 | 3.65 Mn |
| Sep 30, 2023 | 2.67 Mn |
| Jun 30, 2023 | 2.66 Mn |
| Mar 31, 2023 | 2.66 Mn |
| Dec 31, 2022 | 11.05 Mn |
| Sep 30, 2022 | 2.63 Mn |
| Jun 30, 2022 | 2.61 Mn |
| Mar 31, 2022 | 2.61 Mn |
| Dec 31, 2021 | 2.63 Mn |
| Sep 30, 2021 | 2.50 Mn |
AbCellera Biologics Amortizatization of 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=amortizatization-of-intangibles&ticker=ABCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();