PRF Technologies (PRFX) Selling, General & Administrative (2020 - 2025)
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Analysis
PRF Technologies (PRFX) Selling, General & Administrative (2020 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Teva Pharmaceutical Industries | 46.72 Bn | 43.07 Bn | 2.15 Bn | 317.00 Mn |
| 2 | Viatris | 19.64 Bn | 18.75 Bn | 1.46 Bn | 1.13 Bn |
| 3 | Dr Reddys Laboratories | 10.36 Bn | 10.22 Bn | 396.53 Mn | 304.42 Mn |
| 4 | Amneal Pharmaceuticals | 6.44 Bn | 6.39 Bn | 334.51 Mn | 148.72 Mn |
| 5 | Bausch Health Companies | 2.11 Bn | 1.24 Bn | 2.10 Bn | 907.00 Mn |
| 6 | Ani Pharmaceuticals | 1.88 Bn | 1.52 Bn | 165.89 Mn | 91.66 Mn |
| 7 | Alvotech | 1.83 Bn | 1.69 Bn | 2.56 Mn | -43.56 Mn |
| 8 | Amphastar Pharmaceuticals | 1.04 Bn | 751.07 Mn | 93.47 Mn | 18.24 Mn |
| 9 | Fennec Pharmaceuticals | 382.22 Mn | 340.97 Mn | 17.15 Mn | 4.64 Mn |
| 10 | PRF Technologies | 622,054.07 | -10.31 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 5,000.00 |
| Jun 30, 2024 | 61,000.00 |
| Mar 31, 2024 | -823,000.00 |
| Dec 31, 2023 | -818,000.00 |
| Sep 30, 2023 | -763,000.00 |
| Jun 30, 2023 | -1.01 Mn |
| Mar 31, 2023 | -962,000.00 |
| Dec 31, 2022 | -1.31 Mn |
| Sep 30, 2022 | -1.05 Mn |
| Jun 30, 2022 | -1.10 Mn |
| Mar 31, 2022 | -992,000.00 |
| Dec 31, 2021 | -1.19 Mn |
| Sep 30, 2021 | -1.20 Mn |
| Jun 30, 2021 | -958,000.00 |
| Mar 31, 2021 | -1.01 Mn |
| Dec 31, 2020 | -429,000.00 |
| Sep 30, 2020 | -673,000.00 |
| Jun 30, 2020 | -107,000.00 |
| Mar 31, 2020 | -108,000.00 |
API Access
PRF Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=PRFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PRFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();