Pfizer (PFE) Total Liabilities (2009 - 2026)
Pfizer's Total Liabilities came in at $115.7 billion for Q3 2026, down 0.2% from $115.9 billion a year earlier but up 0.1% from the prior quarter.
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Analysis
Pfizer (PFE) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Pfizer's Total Liabilities was $121.39 billion, down 2.8% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $124.9 billion in FY2024 (-9.3%), $137.71 billion in FY2023 (+36.0%), $101.29 billion in FY2022 (-2.6%) and $104.01 billion in FY2021 (+14.6%).
- The five-year range for quarterly Total Liabilities is $94.76 billion (Q1 2023) to $137.71 billion (Q4 2023).
- Year-over-year, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 4.9%.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2023 (growth of 36.0%), and the weakest in Q4 2024 (a decline of 9.3%).
- Business Quant data shows PFE's Total Liabilities at $115.64 billion (Q2 2026), $117.6 billion (Q1 2026) and $121.39 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Vertex Pharmaceuticals | 138.78 Bn | 110.77 Bn | 2.91 Bn | 11.83 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 115.70 Bn |
| Jun 28, 2026 | 115.64 Bn |
| Mar 29, 2026 | 117.60 Bn |
| Dec 31, 2025 | 121.39 Bn |
| Sep 28, 2025 | 115.90 Bn |
| Jun 29, 2025 | 117.08 Bn |
| Mar 30, 2025 | 117.39 Bn |
| Dec 31, 2024 | 124.90 Bn |
| Sep 29, 2024 | 126.92 Bn |
| Jun 30, 2024 | 128.22 Bn |
| Mar 31, 2024 | 128.54 Bn |
| Dec 31, 2023 | 137.71 Bn |
| Oct 1, 2023 | 117.82 Bn |
| Jul 2, 2023 | 120.88 Bn |
| Apr 2, 2023 | 94.76 Bn |
| Dec 31, 2022 | 101.29 Bn |
| Oct 2, 2022 | 102.46 Bn |
| Jul 3, 2022 | 107.82 Bn |
| Apr 3, 2022 | 101.32 Bn |
| Dec 31, 2021 | 104.01 Bn |
API Access
Pfizer 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=PFE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PFE", "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=PFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();