AbCellera Biologics (ABCL) Total Non-Current Liabilities (2020 - 2026)
AbCellera Biologics (ABCL) recorded Total Non-Current Liabilities of $358.37 million in Q2 2026, up 9.3% from $327.96 million a year earlier and up 11.4% from the prior quarter.
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Analysis
AbCellera Biologics (ABCL) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, AbCellera Biologics reported Total Non-Current Liabilities of $325.74 million, up 43.0% from FY2024.
- Annual Total Non-Current Liabilities has increased for five straight years, with a five-year compound annual growth rate of 35.4% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $227.86 million in FY2024 (+5.1%), $216.76 million in FY2023 (+14.5%), $189.31 million in FY2022 (+10.0%) and $172.16 million in FY2021 (+140.7%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 19 consecutive quarters, with growth averaging 22.8% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 3.4% (Q2 2024) and 140.7% (Q4 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $321.74 million (Q1 2026), $325.74 million (Q4 2025) and $323.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,152.70 Bn | 1,121.28 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 622.46 Bn | 540.98 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 507.99 Bn | 481.10 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 364.79 Bn | 319.17 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 294.89 Bn | 258.88 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 259.18 Bn | 232.87 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 233.81 Bn | 189.21 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 192.43 Bn | 166.63 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 170.43 Bn | 117.07 Bn | 10.94 Bn | 97.04 Bn |
| 10 | AbCellera Biologics | 3.54 Bn | 3.00 Bn | - | 358.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 358.37 Mn |
| Mar 31, 2026 | 321.74 Mn |
| Dec 31, 2025 | 325.74 Mn |
| Sep 30, 2025 | 323.15 Mn |
| Jun 30, 2025 | 327.96 Mn |
| Mar 31, 2025 | 245.83 Mn |
| Dec 31, 2024 | 227.86 Mn |
| Sep 30, 2024 | 235.17 Mn |
| Jun 30, 2024 | 231.13 Mn |
| Mar 31, 2024 | 228.30 Mn |
| Dec 31, 2023 | 216.76 Mn |
| Sep 30, 2023 | 219.18 Mn |
| Jun 30, 2023 | 223.43 Mn |
| Mar 31, 2023 | 199.83 Mn |
| Dec 31, 2022 | 189.31 Mn |
| Sep 30, 2022 | 196.19 Mn |
| Jun 30, 2022 | 159.79 Mn |
| Mar 31, 2022 | 171.36 Mn |
| Dec 31, 2021 | 172.16 Mn |
| Sep 30, 2021 | 169.79 Mn |
API Access
AbCellera Biologics Total 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=total-non-current-liabilities&ticker=ABCL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=ABCL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();