Gsk (GSK) Total Liabilities (2009 - 2026)
Gsk's Total Liabilities came in at $59.79 billion for the quarter ended Jun 30, 2026, down 0.2% from $59.9 billion a year earlier and down 2.4% from the prior quarter.
Gsk (GSK) Total Liabilities (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Gsk's Total Liabilities was $59.55 billion, up 0.4% from the prior year.
- Total Liabilities carries a five-year compound annual growth rate of -4.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Total Liabilities was $59.28 billion in the year ended Dec 31, 2024 (+3.1%), $57.48 billion in the year ended Dec 31, 2023 (-7.2%), $61.94 billion in the year ended Dec 31, 2022 (-22.1%) and $79.47 billion in the year ended Dec 31, 2021 (+3.8%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Total Liabilities since the quarter ended Mar 31, 2025.
- Year-over-year, Total Liabilities increased in six of the last eight quarters, with growth averaging 2.4%.
- The fastest year-over-year change in Total Liabilities over five years came in the quarter ended Mar 31, 2023 (growth of 135.7%), and the weakest in the quarter ended Mar 31, 2022 (a decline of 69.0%).
- Business Quant data shows GSK's Total Liabilities at $61.27 billion (quarter ended Mar 31, 2026), $60.07 billion (quarter ended Dec 31, 2025) and $61.51 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Gsk | 100.33 Bn | 81.91 Bn | 8.24 Bn | 59.79 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.79 Bn |
| Mar 31, 2026 | 61.27 Bn |
| Dec 31, 2025 | 60.07 Bn |
| Sep 30, 2025 | 61.51 Bn |
| Jun 30, 2025 | 59.90 Bn |
| Mar 31, 2025 | 59.26 Bn |
| Dec 31, 2024 | 59.52 Bn |
| Sep 30, 2024 | 57.94 Bn |
| Jun 30, 2024 | 55.91 Bn |
| Mar 31, 2024 | 57.44 Bn |
| Dec 31, 2023 | 57.35 Bn |
| Sep 30, 2023 | 61.11 Bn |
| Jun 30, 2023 | 59.19 Bn |
| Mar 31, 2023 | 57.47 Bn |
| Dec 31, 2022 | 58.71 Bn |
| Sep 30, 2022 | 60.81 Bn |
| Jun 30, 2022 | 83.62 Bn |
| Mar 31, 2022 | 24.39 Bn |
| Dec 31, 2021 | 77.86 Bn |
| Sep 30, 2021 | 78.50 Bn |
Gsk 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=GSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GSK", "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=GSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();