ProPhase Labs (PRPH) Return on Sales [ROS] (2010 - 2026)
ProPhase Labs (PRPH) posted Return on Sales [ROS] of -261.62% for Q2 2026, up 50.65 percentage points from -312.27% a year earlier but down 54.09 percentage points from the prior quarter.
ProPhase Labs (PRPH) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at ProPhase Labs was -404.50%, up 153.12 percentage points year-over-year; for FY2025, it was -415.35%, up 152.72 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -401.01 percentage points (FY2020 to FY2025).
- In prior years, ProPhase Labs' Return on Sales [ROS] was -568.07% in FY2024 (-507.44 pp), -60.63% in FY2023 (-79.87 pp), 19.24% in FY2022 (+6.84 pp) and 12.40% in FY2021 (+26.74 pp).
- Quarterly Return on Sales [ROS] has run from a low of -1134.51% in Q4 2024 to a high of 36.39% in Q2 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of -99.56 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2025, with a gain of 404.16 percentage points; the weakest was Q4 2024, with a drop of 1073.89 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -207.53% (Q1 2026), -730.36% (Q4 2025) and -539.52% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | ProPhase Labs | 155,925.56 | -390,074.44 | 226,000.00 | -261.62% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -261.62% |
| Mar 31, 2026 | -207.53% |
| Dec 31, 2025 | -730.36% |
| Sep 30, 2025 | -539.52% |
| Jun 30, 2025 | -312.27% |
| Mar 31, 2025 | -255.97% |
| Dec 31, 2024 | -1,134.51% |
| Sep 30, 2024 | -457.63% |
| Jun 30, 2024 | -480.59% |
| Mar 31, 2024 | -323.90% |
| Dec 31, 2023 | -60.63% |
| Sep 30, 2023 | -77.44% |
| Jun 30, 2023 | -35.24% |
| Mar 31, 2023 | 4.53% |
| Dec 31, 2022 | -23.32% |
| Sep 30, 2022 | 8.07% |
| Jun 30, 2022 | 36.39% |
| Mar 31, 2022 | 33.97% |
| Dec 31, 2021 | 30.29% |
| Sep 30, 2021 | -38.50% |
ProPhase Labs Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=PRPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PRPH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=PRPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();