Pfizer (PFE) Total Current Liabilities (2009 - 2026)
Pfizer's Total Current Liabilities came in at $32.65 billion for Q2 2026, down 13.5% from $37.73 billion a year earlier and down 5.0% from the prior quarter.
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Analysis
Pfizer (PFE) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Pfizer's Total Current Liabilities was $36.98 billion, down 14.0% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $43 billion in FY2024 (-10.0%), $47.79 billion in FY2023 (+13.4%), $42.14 billion in FY2022 (-1.2%) and $42.67 billion in FY2021 (+64.6%).
- The Q2 2026 figure represents the lowest quarterly Total Current Liabilities since Q1 2021.
- Year-over-year, Total Current Liabilities has declined for seven consecutive quarters, with an average decline of 11.8% over the last seven quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q4 2021 (growth of 64.6%), and the weakest in Q2 2023 (a decline of 26.9%).
- Business Quant data shows PFE's Total Current Liabilities at $34.35 billion (Q1 2026), $36.98 billion (Q4 2025) and $36.6 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn | 18.66 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 32.65 Bn |
| Mar 29, 2026 | 34.35 Bn |
| Dec 31, 2025 | 36.98 Bn |
| Sep 28, 2025 | 36.60 Bn |
| Jun 29, 2025 | 37.73 Bn |
| Mar 30, 2025 | 36.45 Bn |
| Dec 31, 2024 | 43.00 Bn |
| Sep 29, 2024 | 43.21 Bn |
| Jun 30, 2024 | 43.82 Bn |
| Mar 31, 2024 | 40.50 Bn |
| Dec 31, 2023 | 47.79 Bn |
| Sep 30, 2023 | 6.12 Bn |
| Jul 2, 2023 | 34.65 Bn |
| Apr 2, 2023 | 36.56 Bn |
| Dec 31, 2022 | 42.14 Bn |
| Sep 30, 2022 | 5.24 Bn |
| Jul 3, 2022 | 47.41 Bn |
| Apr 3, 2022 | 39.27 Bn |
| Dec 31, 2021 | 42.67 Bn |
| Oct 3, 2021 | 41.80 Bn |
API Access
Pfizer Total 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-current-liabilities&ticker=PFE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();