PRF Technologies (PRFX) Property, Plant & Equipment (Net) (2020 - 2026)
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Analysis
PRF Technologies (PRFX) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Teva Pharmaceutical Industries | 46.72 Bn | 43.07 Bn | 2.15 Bn | 3.93 Bn |
| 2 | Viatris | 19.64 Bn | 18.75 Bn | 1.46 Bn | 2.44 Bn |
| 3 | Dr Reddys Laboratories | 10.36 Bn | 10.22 Bn | 396.53 Mn | 1.22 Bn |
| 4 | Amneal Pharmaceuticals | 6.44 Bn | 6.39 Bn | 334.51 Mn | 456.88 Mn |
| 5 | Bausch Health Companies | 2.11 Bn | 1.24 Bn | 2.10 Bn | 2.10 Bn |
| 6 | Ani Pharmaceuticals | 1.88 Bn | 1.52 Bn | 165.89 Mn | 73.22 Mn |
| 7 | Alvotech | 1.83 Bn | 1.69 Bn | 2.56 Mn | 381.58 Mn |
| 8 | Amphastar Pharmaceuticals | 1.04 Bn | 751.07 Mn | 93.47 Mn | 389.13 Mn |
| 9 | Fennec Pharmaceuticals | 382.22 Mn | 340.97 Mn | 17.15 Mn | - |
| 10 | PRF Technologies | 622,054.07 | -10.31 Mn | - | 23,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23,000.00 |
| Dec 31, 2025 | 30,000.00 |
| Jun 30, 2025 | 8,000.00 |
| Dec 31, 2024 | 35,000.00 |
| Jun 30, 2024 | 42,000.00 |
| Mar 31, 2024 | 41,000.00 |
| Dec 31, 2023 | 18,000.00 |
| Sep 30, 2023 | 43,000.00 |
| Jun 30, 2023 | 38,000.00 |
| Mar 31, 2023 | 42,000.00 |
| Dec 31, 2022 | 44,000.00 |
| Sep 30, 2022 | 44,000.00 |
| Jun 30, 2022 | 54,000.00 |
| Mar 31, 2022 | 51,000.00 |
| Dec 31, 2021 | 53,000.00 |
| Sep 30, 2021 | 28,000.00 |
| Jun 30, 2021 | 24,000.00 |
| Mar 31, 2021 | 22,000.00 |
| Dec 31, 2020 | 10,000.00 |
API Access
PRF Technologies Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=PRFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=PRFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();