AbCellera Biologics (ABCL) Non Operating Income (2020 - 2026)
AbCellera Biologics (ABCL) reported Non Operating Income of $3.81 million for Q2 2026, down 71.2% from $13.24 million a year earlier and down 52.2% from the prior quarter.
AbCellera Biologics (ABCL) Non Operating Income (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, AbCellera Biologics' Non Operating Income came in at $28.39 million, down 64.5% year-over-year; for FY2025, it came in at $39.51 million, down 65.5% from FY2024.
- Non Operating Income has a five-year compound annual growth rate of 85.4% (FY2020 to FY2025).
- By year, Non Operating Income came in at $114.37 million in FY2024 (+81.0%), $63.18 million in FY2023 (+179.7%), $22.59 million in FY2022 (+53.3%) and $14.74 million in FY2021 (+717.8%).
- The Q2 2026 figure ranks as the lowest quarterly Non Operating Income since Q2 2022.
- Year over year, Non Operating Income has now declined in each of the last six quarters, with an average decline of 21.7% over the last eight quarters.
- The high point for year-over-year Non Operating Income in five years was Q2 2023 (growth of 786.4%); the low point was Q3 2025 (a decline of 75.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.98 million (Q1 2026), $9.08 million (Q4 2025) and $7.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn | - |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn | - |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn | - |
| 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 | -73.00 Mn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn | 387.00 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 | - | 3.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.81 Mn |
| Mar 31, 2026 | 7.98 Mn |
| Dec 31, 2025 | 9.08 Mn |
| Sep 30, 2025 | 7.51 Mn |
| Jun 30, 2025 | 13.24 Mn |
| Mar 31, 2025 | 9.68 Mn |
| Dec 31, 2024 | 25.93 Mn |
| Sep 30, 2024 | 31.03 Mn |
| Jun 30, 2024 | 45.27 Mn |
| Mar 31, 2024 | 12.15 Mn |
| Dec 31, 2023 | 17.45 Mn |
| Sep 30, 2023 | 15.61 Mn |
| Jun 30, 2023 | 13.39 Mn |
| Mar 31, 2023 | 16.73 Mn |
| Dec 31, 2022 | 6.37 Mn |
| Sep 30, 2022 | 8.85 Mn |
| Jun 30, 2022 | 1.51 Mn |
| Mar 31, 2022 | 5.86 Mn |
| Dec 31, 2021 | 3.16 Mn |
| Sep 30, 2021 | 3.12 Mn |
AbCellera Biologics Non Operating Income 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-operating-income&ticker=ABCL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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-operating-income&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();