Pfizer (PFE) Net Equity Issued and Repurchased (2010 - 2022)
Pfizer's Net Equity Issued and Repurchased came in at $219 million for Q4 2020, up 140.7% from $91 million a year earlier and up 356.3% from the prior quarter.
Pfizer (PFE) Net Equity Issued and Repurchased (2010 - 2022) Analysis & Trends
For FY2020, Pfizer's Net Equity Issued and Repurchased was $425 million, up 7.9% from FY2019.
- Net Equity Issued and Repurchased carries a five-year compound annual growth rate of -19.6% (FY2015 to FY2020).
- Going back by year, Net Equity Issued and Repurchased was $394 million in FY2019 (-68.7%), $1.26 billion in FY2018 (+46.1%), $862 million in FY2017 (-15.4%) and $1.02 billion in FY2016 (-19.3%).
- The Q4 2020 figure represents the highest quarterly Net Equity Issued and Repurchased since Q3 2018.
- Year-over-year, Net Equity Issued and Repurchased increased in two of the last eight quarters, with an average decline of 15.8%.
- The fastest year-over-year change in Net Equity Issued and Repurchased over five years came in Q4 2017 (growth of 182.2%), and the weakest in Q3 2019 (a decline of 91.2%).
- Business Quant data shows PFE's Net Equity Issued and Repurchased at $48 million (Q3 2020), $34 million (Q2 2020) and $124 million (Q1 2020) in the three quarters before Q4 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | -1.60 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 138.00 Mn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | -9.00 Mn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | -714.00 Mn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | -1.20 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 6.00 Mn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | -346.00 Mn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn | -421.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 3, 2022 | -2.00 Bn |
| Dec 31, 2020 | 219.00 Mn |
| Sep 27, 2020 | 48.00 Mn |
| Jun 28, 2020 | 34.00 Mn |
| Mar 29, 2020 | 124.00 Mn |
| Dec 31, 2019 | 91.00 Mn |
| Sep 29, 2019 | 55.00 Mn |
| Jun 30, 2019 | 122.00 Mn |
| Mar 31, 2019 | -8.74 Bn |
| Dec 31, 2018 | -4.87 Bn |
| Sep 30, 2018 | -480.00 Mn |
| Jul 1, 2018 | 102.00 Mn |
| Apr 1, 2018 | -5.69 Bn |
| Dec 31, 2017 | 206.00 Mn |
| Oct 1, 2017 | 245.00 Mn |
| Jul 2, 2017 | 98.00 Mn |
| Apr 2, 2017 | -4.69 Bn |
| Dec 31, 2016 | 73.00 Mn |
| Oct 2, 2016 | 250.00 Mn |
| Jul 3, 2016 | 400.00 Mn |
Pfizer Net Equity Issued and Repurchased 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=net-equity-issued-and-repurchased&ticker=PFE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "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=net-equity-issued-and-repurchased&ticker=PFE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();