AbCellera Biologics (ABCL) Accounts Payables (2020 - 2026)
AbCellera Biologics (ABCL) posted Accounts Payables of $32.48 million for Q2 2026, down 35.1% from $50.07 million a year earlier and down 17.9% from the prior quarter.
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Analysis
AbCellera Biologics (ABCL) Accounts Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, AbCellera Biologics' Accounts Payables came in at $50.78 million, down 7.7% from FY2024.
- Annual Accounts Payables shows a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- In prior years, AbCellera Biologics' Accounts Payables was $55 million in FY2024 (+10.9%), $49.58 million in FY2023 (-5.6%), $52.5 million in FY2022 (+64.0%) and $32.02 million in FY2021 (+58.5%).
- The Q2 2026 figure stands as the lowest quarterly Accounts Payables since Q1 2023.
- On a year-over-year basis, Accounts Payables has declined in each of the last four quarters, with growth averaging 3.2% over the last eight quarters.
- The strongest year-over-year quarter for Accounts Payables in the past five years was Q2 2023, with growth of 114.8%; the weakest was Q2 2026, with a decline of 35.1%.
- According to Business Quant data, Accounts Payables for the three prior quarters was $39.55 million (Q1 2026), $50.78 million (Q4 2025) and $53.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 9.22 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 3.83 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 4.58 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 429.50 Mn |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | 32.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.48 Mn |
| Mar 31, 2026 | 39.55 Mn |
| Dec 31, 2025 | 50.78 Mn |
| Sep 30, 2025 | 53.12 Mn |
| Jun 30, 2025 | 50.07 Mn |
| Mar 31, 2025 | 47.84 Mn |
| Dec 31, 2024 | 55.00 Mn |
| Sep 30, 2024 | 53.77 Mn |
| Jun 30, 2024 | 43.95 Mn |
| Mar 31, 2024 | 42.89 Mn |
| Dec 31, 2023 | 49.58 Mn |
| Sep 30, 2023 | 35.71 Mn |
| Jun 30, 2023 | 52.40 Mn |
| Mar 31, 2023 | 31.81 Mn |
| Dec 31, 2022 | 52.50 Mn |
| Sep 30, 2022 | 25.87 Mn |
| Jun 30, 2022 | 24.39 Mn |
| Mar 31, 2022 | 25.72 Mn |
| Dec 31, 2021 | 32.02 Mn |
| Sep 30, 2021 | 24.07 Mn |
API Access
AbCellera Biologics Accounts Payables 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=accounts-payables&ticker=ABCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();