AbCellera Biologics (ABCL) Capital Expenditures (2020 - 2026)
AbCellera Biologics' Capital Expenditures came in at $2.13 million for Q2 2026, down 84.0% from $13.37 million a year earlier and down 44.3% from the prior quarter.
AbCellera Biologics (ABCL) Capital Expenditures (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, AbCellera Biologics reported Capital Expenditures of $24.73 million, down 57.5% year-over-year; for FY2025, it came in at $42.77 million, down 45.4% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 34.6% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $78.4 million in FY2024 (+1.9%), $76.95 million in FY2023 (+8.9%), $70.66 million in FY2022 (+20.9%) and $58.45 million in FY2021 (+504.3%).
- The Q2 2026 figure represents the lowest quarterly Capital Expenditures since Q4 2020.
- Year-over-year, Capital Expenditures has declined for six consecutive quarters, with an average decline of 40.9% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q4 2021 (growth of 527.8%), and the weakest in Q2 2026 (a decline of 84.0%).
- Business Quant data shows ABCL's Capital Expenditures at $3.83 million (Q1 2026), $9.84 million (Q4 2025) and $8.93 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn | 112.20 Mn |
| 10 | AbCellera Biologics | 3.89 Bn | 3.89 Bn | - | 2.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.13 Mn |
| Mar 31, 2026 | 3.83 Mn |
| Dec 31, 2025 | 9.84 Mn |
| Sep 30, 2025 | 8.93 Mn |
| Jun 30, 2025 | 13.37 Mn |
| Mar 31, 2025 | 10.64 Mn |
| Dec 31, 2024 | 15.63 Mn |
| Sep 30, 2024 | 18.52 Mn |
| Jun 30, 2024 | 20.11 Mn |
| Mar 31, 2024 | 24.14 Mn |
| Dec 31, 2023 | 14.43 Mn |
| Sep 30, 2023 | 20.33 Mn |
| Jun 30, 2023 | 27.20 Mn |
| Mar 31, 2023 | 14.98 Mn |
| Dec 31, 2022 | 12.33 Mn |
| Sep 30, 2022 | 12.51 Mn |
| Jun 30, 2022 | 31.32 Mn |
| Mar 31, 2022 | 14.50 Mn |
| Dec 31, 2021 | 9.43 Mn |
| Sep 30, 2021 | 8.57 Mn |
AbCellera Biologics Capital Expenditures 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=capital-expenditures&ticker=ABCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();