Pfizer (PFE) Asset Writedowns and Impairment (2009 - 2026)
Pfizer (PFE) posted Asset Writedowns and Impairment of $4.33 billion for Q2 2026, compared with $93 million a year earlier.
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Analysis
Pfizer (PFE) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Asset Writedowns and Impairment at Pfizer was $9.02 billion, up 150.7% year-over-year; for FY2025, it was $5.27 billion, up 24.2% from FY2024.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- In prior years, Pfizer's Asset Writedowns and Impairment was $4.24 billion in FY2024 (-31.6%), $6.2 billion in FY2023 (+424.0%), $1.18 billion in FY2022 (+328.6%) and $276 million in FY2021 (-86.5%).
- Quarterly Asset Writedowns and Impairment has run from a low of $31 million in Q1 2022 to a high of $4.41 billion in Q4 2025 over five years.
- On a year-over-year basis, Asset Writedowns and Impairment increased in three of the last five quarters, with growth averaging 167.7%.
- The strongest year-over-year quarter for Asset Writedowns and Impairment in the past five years was Q4 2024, with growth of 798.3%; the weakest was Q1 2026, with a decline of 90.7%.
- According to Business Quant data, Asset Writedowns and Impairment for the three prior quarters was $32 million (Q1 2026), $4.41 billion (Q4 2025) and $260 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.58 Bn | 1,078.16 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 630.16 Bn | 548.69 Bn | 17.26 Bn |
| 3 | AbbVie | 488.57 Bn | 461.73 Bn | 12.70 Bn |
| 4 | Merck | 359.15 Bn | 313.58 Bn | 12.21 Bn |
| 5 | Novartis Ag | 274.32 Bn | 238.71 Bn | 11.24 Bn |
| 6 | Astrazeneca | 246.73 Bn | 220.50 Bn | 12.86 Bn |
| 7 | Amgen | 224.28 Bn | 179.68 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 187.60 Bn | 161.71 Bn | 6.22 Bn |
| 9 | Pfizer | 161.13 Bn | 108.08 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 129.23 Bn | 101.23 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.33 Bn |
| Mar 29, 2026 | 32.00 Mn |
| Dec 31, 2025 | 4.41 Bn |
| Sep 28, 2025 | 260.00 Mn |
| Jun 29, 2025 | 93.00 Mn |
| Mar 30, 2025 | 344.00 Mn |
| Dec 31, 2024 | 3.16 Bn |
| Jun 30, 2024 | 240.00 Mn |
| Mar 31, 2024 | 136.00 Mn |
| Dec 31, 2023 | 352.00 Mn |
| Apr 2, 2023 | 270.00 Mn |
| Dec 31, 2022 | 707.00 Mn |
| Apr 3, 2022 | 31.00 Mn |
| Dec 31, 2021 | 183.00 Mn |
| Jul 4, 2021 | 31.00 Mn |
| Apr 4, 2021 | 24.00 Mn |
| Dec 31, 2020 | 1.06 Bn |
| Sep 27, 2020 | 900.00 Mn |
| Mar 29, 2020 | 44.00 Mn |
| Dec 31, 2019 | 2.67 Bn |
API Access
Pfizer Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=PFE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=PFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();