AbbVie (ABBV) Total Liabilities (2012 - 2026)
AbbVie (ABBV) recorded Total Liabilities of $152.26 billion in Q3 2026, up 11.6% from $136.5 billion a year earlier and up 8.0% from the prior quarter.
AbbVie (ABBV) Total Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, AbbVie reported Total Liabilities of $137.23 billion, up 4.1% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $131.8 billion in FY2024 (+6.0%), $124.31 billion in FY2023 (+2.3%), $121.52 billion in FY2022 (-7.3%) and $131.09 billion in FY2021 (-4.6%).
- The Q3 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2012.
- On a year-over-year basis, Total Liabilities has increased for four consecutive quarters, with growth averaging 3.4% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 16.2% in Q1 2024, against a decline of 7.4% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $141 billion (Q2 2026), $143.08 billion (Q1 2026) and $137.23 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Vertex Pharmaceuticals | 138.90 Bn | 106.64 Bn | 2.91 Bn | 11.83 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 152.26 Bn |
| Jun 30, 2026 | 141.00 Bn |
| Mar 31, 2026 | 143.08 Bn |
| Dec 31, 2025 | 137.23 Bn |
| Sep 30, 2025 | 136.50 Bn |
| Jun 30, 2025 | 137.32 Bn |
| Mar 31, 2025 | 134.70 Bn |
| Dec 31, 2024 | 131.80 Bn |
| Sep 30, 2024 | 137.35 Bn |
| Jun 30, 2024 | 135.12 Bn |
| Mar 31, 2024 | 140.83 Bn |
| Dec 31, 2023 | 124.31 Bn |
| Sep 30, 2023 | 124.09 Bn |
| Jun 30, 2023 | 122.47 Bn |
| Mar 31, 2023 | 121.24 Bn |
| Dec 31, 2022 | 121.52 Bn |
| Sep 30, 2022 | 125.30 Bn |
| Jun 30, 2022 | 128.50 Bn |
| Mar 31, 2022 | 126.90 Bn |
| Dec 31, 2021 | 131.09 Bn |
AbbVie Total 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-liabilities&ticker=ABBV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ABBV", "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-liabilities&ticker=ABBV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();