AbCellera Biologics (ABCL) Other Non-Current Liabilities (2020 - 2026)
AbCellera Biologics (ABCL) posted Other Non-Current Liabilities of $9.71 million for Q2 2026, up 522.7% from $1.56 million a year earlier but down 14.2% from the prior quarter.
AbCellera Biologics (ABCL) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, AbCellera Biologics' Other Non-Current Liabilities came in at $10.38 million, up 44.8% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In prior years, AbCellera Biologics' Other Non-Current Liabilities was $7.17 million in FY2024 (+21.4%), $5.91 million in FY2023 (-63.2%), $16.05 million in FY2022 (-55.3%) and $35.89 million in FY2021 (+292.3%).
- Quarterly Other Non-Current Liabilities has run from a low of $1.39 million in Q3 2025 to a high of $44.95 million in Q3 2021 over five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 119.2% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q1 2026, with growth of 597.1%; the weakest was Q3 2023, with a decline of 79.1%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $11.32 million (Q1 2026), $10.38 million (Q4 2025) and $1.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.04 Bn | 1,100.62 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 614.86 Bn | 533.39 Bn | 17.26 Bn |
| 3 | AbbVie | 503.32 Bn | 476.44 Bn | 12.70 Bn |
| 4 | Merck | 367.14 Bn | 321.52 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.69 Bn | 235.37 Bn | 12.86 Bn |
| 7 | Amgen | 236.43 Bn | 191.82 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.71 Bn | 164.90 Bn | 6.22 Bn |
| 9 | Pfizer | 170.03 Bn | 116.68 Bn | 10.94 Bn |
| 10 | AbCellera Biologics | 3.65 Bn | 3.11 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.71 Mn |
| Mar 31, 2026 | 11.32 Mn |
| Dec 31, 2025 | 10.38 Mn |
| Sep 30, 2025 | 1.39 Mn |
| Jun 30, 2025 | 1.56 Mn |
| Mar 31, 2025 | 1.62 Mn |
| Dec 31, 2024 | 7.17 Mn |
| Sep 30, 2024 | 5.97 Mn |
| Jun 30, 2024 | 10.79 Mn |
| Mar 31, 2024 | 10.80 Mn |
| Dec 31, 2023 | 10.82 Mn |
| Sep 30, 2023 | 10.36 Mn |
| Jun 30, 2023 | 8.11 Mn |
| Mar 31, 2023 | 18.70 Mn |
| Dec 31, 2022 | 19.14 Mn |
| Sep 30, 2022 | 28.25 Mn |
| Jun 30, 2022 | 27.61 Mn |
| Mar 31, 2022 | 34.05 Mn |
| Dec 31, 2021 | 37.62 Mn |
| Sep 30, 2021 | 46.64 Mn |
AbCellera Biologics Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=ABCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();