Pfizer (PFE) Cost of Revenue (2009 - 2026)
Pfizer (PFE) recorded Cost of Revenue of $4.03 billion in Q3 2026, down 3.5% from $4.17 billion a year earlier and down 1.6% from the prior quarter.
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Analysis
Pfizer (PFE) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Pfizer's Cost of Revenue came in at $16.94 billion as of Sep 27, 2026, up 1.4% year-over-year; for FY2025, it came in at $16.07 billion, down 10.0% from FY2024.
- Annual Cost of Revenue has declined for three straight years, though with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $17.85 billion in FY2024 (-28.5%), $24.95 billion in FY2023 (-27.3%), $34.34 billion in FY2022 (+11.4%) and $30.82 billion in FY2021 (+263.3%).
- Quarterly Cost of Revenue has ranged from $2.85 billion in Q1 2025 to $9.98 billion in Q1 2022 over the past five years.
- On a year-over-year basis, Cost of Revenue rose in three of the last eight quarters, with an average decline of 3.1%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 259.1% in Q4 2021, against a decline of 62.6% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.09 billion (Q2 2026), $3.55 billion (Q1 2026) and $5.27 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,359.75 Bn | 1,333.37 Bn | 20.46 Bn | 3.93 Bn |
| 2 | Johnson & Johnson | 688.76 Bn | 608.62 Bn | 17.30 Bn | 8.10 Bn |
| 3 | AbbVie | 521.69 Bn | 489.75 Bn | 13.12 Bn | 4.29 Bn |
| 4 | Merck | 364.31 Bn | 327.31 Bn | 13.19 Bn | 4.89 Bn |
| 5 | Novartis Ag | 306.35 Bn | 279.93 Bn | - | - |
| 6 | Astrazeneca | 285.96 Bn | 259.56 Bn | 13.26 Bn | 2.95 Bn |
| 7 | Amgen | 251.88 Bn | 203.53 Bn | 7.58 Bn | 2.79 Bn |
| 8 | Gilead Sciences | 208.59 Bn | 183.61 Bn | 6.73 Bn | 1.57 Bn |
| 9 | Pfizer | 164.73 Bn | 112.38 Bn | 12.56 Bn | 4.03 Bn |
| 10 | Vertex Pharmaceuticals | 136.55 Bn | 104.28 Bn | 2.91 Bn | 526.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 4.03 Bn |
| Jun 28, 2026 | 4.09 Bn |
| Mar 29, 2026 | 3.55 Bn |
| Dec 31, 2025 | 5.27 Bn |
| Sep 28, 2025 | 4.17 Bn |
| Jun 29, 2025 | 3.78 Bn |
| Mar 30, 2025 | 2.85 Bn |
| Dec 31, 2024 | 5.91 Bn |
| Sep 29, 2024 | 5.26 Bn |
| Jun 30, 2024 | 3.30 Bn |
| Mar 31, 2024 | 3.38 Bn |
| Dec 31, 2023 | 7.56 Bn |
| Oct 1, 2023 | 9.27 Bn |
| Jul 2, 2023 | 3.24 Bn |
| Apr 2, 2023 | 4.89 Bn |
| Dec 31, 2022 | 9.65 Bn |
| Oct 2, 2022 | 6.06 Bn |
| Jul 3, 2022 | 8.65 Bn |
| Apr 3, 2022 | 9.98 Bn |
| Dec 31, 2021 | 9.74 Bn |
API Access
Pfizer Cost of Revenue 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=cost-of-revenue&ticker=PFE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();