AbbVie (ABBV) Total Liabilities (2012 - 2026)
AbbVie (ABBV) recorded Total Liabilities of $141.05 billion in Q2 2026, up 2.7% from $137.32 billion a year earlier but down 1.4% 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%).
- Quarterly Total Liabilities has ranged from $121.24 billion in Q1 2023 to $143.08 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 3.3% 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 $143.08 billion (Q1 2026), $137.23 billion (Q4 2025) and $136.54 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Bristol Myers Squibb | 127.55 Bn | 78.82 Bn | 9.25 Bn | 65.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 141.05 Bn |
| Mar 31, 2026 | 143.08 Bn |
| Dec 31, 2025 | 137.23 Bn |
| Sep 30, 2025 | 136.54 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 |
| Sep 30, 2021 | 135.28 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();