Pfizer (PFE) Total Non-Current Liabilities (2009 - 2026)
Pfizer's Total Non-Current Liabilities was $96.04 billion in Q3 2026, down 2.9% from $98.9 billion a year earlier and down 1.0% from the prior quarter.
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Analysis
Pfizer (PFE) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Pfizer came in at $103.07 billion, down 1.5% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $104.64 billion in FY2024 (-7.1%), $112.64 billion in FY2023 (+43.9%), $78.3 billion in FY2022 (-5.6%) and $82.94 billion in FY2021 (+14.4%).
- The Q3 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q3 2023.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 3.8%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2024 (growth of 45.8%); the worst was Q1 2023 (a decline of 9.3%).
- Per Business Quant data, PFE's Total Non-Current Liabilities in the three quarters before Q3 2026 was $97.04 billion (Q2 2026), $99.69 billion (Q1 2026) and $103.07 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 60.81 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 117.60 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 79.95 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -36.84 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 76.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 36.05 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 96.04 Bn |
| 10 | Vertex Pharmaceuticals | 138.90 Bn | 106.64 Bn | 2.91 Bn | 10.48 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 96.04 Bn |
| Jun 28, 2026 | 97.04 Bn |
| Mar 29, 2026 | 99.69 Bn |
| Dec 31, 2025 | 103.07 Bn |
| Sep 28, 2025 | 98.90 Bn |
| Jun 29, 2025 | 99.84 Bn |
| Mar 30, 2025 | 98.37 Bn |
| Dec 31, 2024 | 104.64 Bn |
| Sep 29, 2024 | 105.44 Bn |
| Jun 30, 2024 | 105.59 Bn |
| Mar 31, 2024 | 104.81 Bn |
| Dec 31, 2023 | 112.64 Bn |
| Oct 1, 2023 | 95.48 Bn |
| Jul 2, 2023 | 99.42 Bn |
| Apr 2, 2023 | 71.90 Bn |
| Dec 31, 2022 | 78.30 Bn |
| Oct 2, 2022 | 80.52 Bn |
| Jul 3, 2022 | 85.52 Bn |
| Apr 3, 2022 | 79.23 Bn |
| Dec 31, 2021 | 82.94 Bn |
API Access
Pfizer 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=PFE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();