Pfizer (PFE) Total Non-Current Liabilities (2009 - 2026)
Pfizer's Total Non-Current Liabilities was $100.86 billion in Q2 2026, down 2.2% from $103.15 billion a year earlier and down 2.5% from the prior quarter.
Pfizer (PFE) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Pfizer came in at $5.74 billion, down 7.6% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $6.21 billion in FY2024 (+3.5%), $6 billion in FY2023 (unchanged), $6 billion in FY2022 (-8.3%) and $6.54 billion in FY2021 (+2.6%).
- Quarterly Total Non-Current Liabilities has moved between $5.22 billion (Q3 2021) and $113.42 billion (Q1 2024) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for six straight quarters, with an average decline of 4.5% over the last seven quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q1 2024 (growth of 38.7%); the worst was Q1 2023 (a decline of 8.9%).
- Per Business Quant data, PFE's Total Non-Current Liabilities in the three quarters before Q2 2026 was $103.4 billion (Q1 2026), $5.74 billion (Q4 2025) and $102.3 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Vertex Pharmaceuticals | 135.25 Bn | 107.26 Bn | 2.84 Bn | 5.92 Bn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Oct 3, 2021 | 82.68 Bn |
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_KEY
import 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();