ProPhase Labs (PRPH) Return on Assets [ROA] (2011 - 2026)
ProPhase Labs' Return on Assets [ROA] was -38.77% in Q2 2026, up 51.19 percentage points from -89.96% a year earlier and up 1.59 percentage points from the prior quarter.
ProPhase Labs (PRPH) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Return on Assets [ROA] at ProPhase Labs came in at -23.96%, up 44.84 percentage points from FY2024.
- Return on Assets [ROA] shows a five-year change of -14.23 percentage points (FY2020 to FY2025).
- In earlier years, Return on Assets [ROA] was -68.80% in FY2024 (-50.11 pp), -18.69% in FY2023 (-39.56 pp), 20.87% in FY2022 (+10.47 pp) and 10.39% in FY2021 (+20.12 pp).
- Quarterly Return on Assets [ROA] has moved between -89.96% (Q2 2025) and 32.17% (Q3 2022) over five years.
- Compared with a year earlier, Return on Assets [ROA] has increased for three straight quarters, with an average year-over-year change of -12.13 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was Q2 2026 (a gain of 51.19 percentage points); the worst was Q2 2025 (a drop of 61.76 percentage points).
- Per Business Quant data, PRPH's Return on Assets [ROA] in the three quarters before Q2 2026 was -40.37% (Q1 2026), -23.48% (Q4 2025) and -77.41% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 20.64% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 10.47% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 4.65% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.45% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 28.37% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 9.10% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 9.29% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -6.13% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 2.14% |
| 10 | ProPhase Labs | 155,925.56 | -390,074.44 | 226,000.00 | -38.77% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -38.77% |
| Mar 31, 2026 | -40.37% |
| Dec 31, 2025 | -23.48% |
| Sep 30, 2025 | -77.41% |
| Jun 30, 2025 | -89.96% |
| Mar 31, 2025 | -76.13% |
| Dec 31, 2024 | -68.85% |
| Sep 30, 2024 | -29.49% |
| Jun 30, 2024 | -28.21% |
| Mar 31, 2024 | -25.49% |
| Dec 31, 2023 | -17.84% |
| Sep 30, 2023 | -11.46% |
| Jun 30, 2023 | -4.68% |
| Mar 31, 2023 | 7.12% |
| Dec 31, 2022 | 19.90% |
| Sep 30, 2022 | 32.17% |
| Jun 30, 2022 | 26.87% |
| Mar 31, 2022 | 18.74% |
| Dec 31, 2021 | 7.75% |
| Sep 30, 2021 | -7.11% |
ProPhase Labs Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=PRPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=PRPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();