AbCellera Biologics (ABCL) Non-Current Assets (2020 - 2026)
AbCellera Biologics (ABCL) recorded Non-Current Assets of $628.35 million in Q2 2026, down 4.8% from $659.92 million a year earlier and down 2.2% from the prior quarter.
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Analysis
AbCellera Biologics (ABCL) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, AbCellera Biologics reported Non-Current Assets of $628.72 million, up 3.2% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 26.7% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $609.18 million in FY2024 (-1.1%), $616.11 million in FY2023 (+19.5%), $515.42 million in FY2022 (+32.6%) and $388.77 million in FY2021 (+102.3%).
- The Q2 2026 figure is the lowest quarterly Non-Current Assets since Q1 2025.
- On a year-over-year basis, Non-Current Assets rose in five of the last eight quarters, with growth averaging 1.5%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 102.3% in Q4 2021, against a decline of 10.8% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $642.52 million (Q1 2026), $628.72 million (Q4 2025) and $660.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 14.88 Bn |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | 628.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 628.35 Mn |
| Mar 31, 2026 | 642.52 Mn |
| Dec 31, 2025 | 628.72 Mn |
| Sep 30, 2025 | 660.85 Mn |
| Jun 30, 2025 | 659.92 Mn |
| Mar 31, 2025 | 579.23 Mn |
| Dec 31, 2024 | 609.18 Mn |
| Sep 30, 2024 | 649.95 Mn |
| Jun 30, 2024 | 640.93 Mn |
| Mar 31, 2024 | 649.15 Mn |
| Dec 31, 2023 | 616.11 Mn |
| Sep 30, 2023 | 592.67 Mn |
| Jun 30, 2023 | 606.43 Mn |
| Mar 31, 2023 | 557.27 Mn |
| Dec 31, 2022 | 515.42 Mn |
| Sep 30, 2022 | 506.74 Mn |
| Jun 30, 2022 | 449.83 Mn |
| Mar 31, 2022 | 417.91 Mn |
| Dec 31, 2021 | 388.77 Mn |
| Sep 30, 2021 | 368.99 Mn |
API Access
AbCellera Biologics Non-Current Assets 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=non-current-assets&ticker=ABCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();