PRF Technologies (PRFX) Net Equity Issued and Repurchased (2020 - 2023)
PRF Technologies' Net Equity Issued and Repurchased came in at $4 million for the year ended Dec 31, 2025, up 26.4% from $3.17 million a year earlier.
PRF Technologies (PRFX) Net Equity Issued and Repurchased (2020 - 2023) Analysis & Trends
Going back to the year ended Dec 31, 2020, PRF Technologies' Net Equity Issued and Repurchased data covers 5 years.
- Net Equity Issued and Repurchased carries a five-year compound annual growth rate of -25.4% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Net Equity Issued and Repurchased since the year ended Dec 31, 2020.
- Per Business Quant, earlier years put Net Equity Issued and Repurchased at $3.17 million in the year ended Dec 31, 2024 (+26.0%), $2.51 million in the year ended Dec 31, 2023 and $1.93 million in the year ended Dec 31, 2021 (-88.9%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | -1.60 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 138.00 Mn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | -9.00 Mn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | -714.00 Mn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | -1.20 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 6.00 Mn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | -346.00 Mn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | - |
| 10 | PRF Technologies | 492,329.90 | -22.92 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 1.70 Mn |
| Dec 31, 2021 | 2.38 Mn |
| Sep 30, 2021 | -446,000.00 |
| Mar 31, 2021 | 6.00 Mn |
| Sep 30, 2020 | 17.31 Mn |
PRF Technologies 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=PRFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "ticker": "PRFX", "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=PRFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();