PRF Technologies (PRFX) Exchange Rate Effect (2022 - 2023)
PRF Technologies' (PRFX) quarterly Exchange Rate Effect came in at $7000.0 in Q4 2023, up 450.0% quarter-over-quarter from -$2000.0 in Q3 2023.
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Analysis
PRF Technologies (PRFX) Exchange Rate Effect (2022 - 2023) Analysis & Trends
PRF Technologies (PRFX) has reported Exchange Rate Effect for 2 consecutive years, with $7000.0 the latest figure, recorded in Q4 2023.
- For the quarter ending Q4 2023, Exchange Rate Effect changed N/A year-over-year to $7000.0; the trailing twelve-month figure through Dec 2023 stood at $2000.0 (changed N/A YoY), and the FY2025 full-year result was -$2000.0, down 133.33% from the prior year.
- Exchange Rate Effect grew to $7000.0 in Q4 2023 per PRFX's latest filing, from -$2000.0 in the prior quarter.
- Across five years, Exchange Rate Effect topped out at $19000.0 in Q1 2022 and bottomed at -$19000.0 in Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Teva Pharmaceutical Industries | 46.72 Bn | 43.07 Bn | 2.15 Bn | -5.00 Mn |
| 2 | Viatris | 19.64 Bn | 18.75 Bn | 1.46 Bn | -3.30 Mn |
| 3 | Dr Reddys Laboratories | 10.36 Bn | 10.22 Bn | 396.53 Mn | 411,947.57 |
| 4 | Amneal Pharmaceuticals | 6.44 Bn | 6.39 Bn | 334.51 Mn | -164,000.00 |
| 5 | Bausch Health Companies | 2.11 Bn | 1.24 Bn | 2.10 Bn | -2.00 Mn |
| 6 | Ani Pharmaceuticals | 1.88 Bn | 1.52 Bn | 165.89 Mn | 67,000.00 |
| 7 | Alvotech | 1.83 Bn | 1.69 Bn | 2.56 Mn | -2.13 Mn |
| 8 | Amphastar Pharmaceuticals | 1.04 Bn | 751.07 Mn | 93.47 Mn | 16,000.00 |
| 9 | Fennec Pharmaceuticals | 382.22 Mn | 340.97 Mn | 17.15 Mn | - |
| 10 | PRF Technologies | 622,054.07 | -10.31 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 7,000.00 |
| Sep 30, 2023 | -2,000.00 |
| Mar 31, 2023 | -3,000.00 |
| Jun 30, 2022 | -19,000.00 |
| Mar 31, 2022 | 19,000.00 |
API Access
PRF Technologies Exchange Rate Effect 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=exchange-rate-effect&ticker=PRFX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=PRFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();