PRF Technologies (PRFX) Accumulated Expenses (2019 - 2026)
PRF Technologies' (PRFX) quarterly Accumulated Expenses came in at $235000.0 in Q2 2026, down 41.98% on a YoY basis from $405000.0 in Q2 2025, and down 30.68% quarter-over-quarter from $339000.0 in Q4 2025.
PRF Technologies (PRFX) Accumulated Expenses (2019 - 2026) Analysis & Trends
PRF Technologies (PRFX) has reported Accumulated Expenses for 8 consecutive years, with $235000.0 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses fell 41.98% year-over-year to $235000.0; the trailing twelve-month figure through Jun 2026 stood at $235000.0 (down 41.98% YoY), and the FY2025 full-year result was $339000.0, up 72.08% from the prior year.
- Accumulated Expenses declined to $235000.0 in Q2 2026 per PRFX's latest filing, from $339000.0 in the prior quarter.
- Across five years, Accumulated Expenses topped out at $531000.0 in Q1 2023 and bottomed at $118000.0 in Q4 2023.
- Historically, Accumulated Expenses has averaged $368714.3 across 5 years, with a median of $385500.0 in 2023.
- The widest YoY moves for Accumulated Expenses: up 76.41% in 2023, down 76.35% in 2023.
- Over 5 years, Accumulated Expenses stood at $499000.0 in 2022, then plunged by 76.35% to $118000.0 in 2023, then soared by 66.95% to $197000.0 in 2024, then jumped by 72.08% to $339000.0 in 2025, then sank by 30.68% to $235000.0 in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $235000.0, $339000.0, and $405000.0 for Q2 2026, Q4 2025, and Q2 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Teva Pharmaceutical Industries | 46.72 Bn | 43.07 Bn | 2.15 Bn |
| 2 | Viatris | 19.64 Bn | 18.75 Bn | 1.46 Bn |
| 3 | Dr Reddys Laboratories | 10.36 Bn | 10.22 Bn | 396.53 Mn |
| 4 | Amneal Pharmaceuticals | 6.44 Bn | 6.39 Bn | 334.51 Mn |
| 5 | Bausch Health Companies | 2.11 Bn | 1.24 Bn | 2.10 Bn |
| 6 | Ani Pharmaceuticals | 1.88 Bn | 1.52 Bn | 165.89 Mn |
| 7 | Alvotech | 1.83 Bn | 1.69 Bn | 2.56 Mn |
| 8 | Amphastar Pharmaceuticals | 1.04 Bn | 751.07 Mn | 93.47 Mn |
| 9 | Fennec Pharmaceuticals | 382.22 Mn | 340.97 Mn | 17.15 Mn |
| 10 | PRF Technologies | 622,054.07 | -10.31 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 235,000.00 |
| Dec 31, 2025 | 339,000.00 |
| Jun 30, 2025 | 405,000.00 |
| Dec 31, 2024 | 197,000.00 |
| Jun 30, 2024 | 440,000.00 |
| Mar 31, 2024 | 520,000.00 |
| Dec 31, 2023 | 118,000.00 |
| Sep 30, 2023 | 366,000.00 |
| Jun 30, 2023 | 501,000.00 |
| Mar 31, 2023 | 531,000.00 |
| Dec 31, 2022 | 499,000.00 |
| Sep 30, 2022 | 414,000.00 |
| Jun 30, 2022 | 284,000.00 |
| Mar 31, 2022 | 313,000.00 |
| Dec 31, 2021 | 423,000.00 |
| Sep 30, 2021 | 457,000.00 |
| Jun 30, 2021 | 556,000.00 |
| Mar 31, 2021 | 582,000.00 |
| Dec 31, 2020 | 92,000.00 |
| Dec 31, 2019 | 166,000.00 |
PRF Technologies Accumulated Expenses 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=accumulated-expenses&ticker=PRFX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PRFX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();