Provectus Biopharmaceuticals (PVCT) Return on Sales [ROS] (2022 - 2026)
Provectus Biopharmaceuticals (PVCT) recorded Return on Sales [ROS] of -1575.32% in Q4 2025, up 14713.67 percentage points from -16288.98% a year earlier and up 282.01 percentage points from the prior quarter.
Provectus Biopharmaceuticals (PVCT) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
Starting with Q1 2022, Provectus Biopharmaceuticals' Return on Sales [ROS] history includes 16 quarters.
- Annual Return on Sales [ROS] has declined for three straight years, with a three-year change of -1228.72 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -734.42% in FY2024 (-214.21 pp), -520.21% in FY2023 (-173.62 pp) and -346.59% in FY2022.
- Quarterly Return on Sales [ROS] has ranged from -16288.98% in Q4 2024 to -187.87% in Q1 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -570.02 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 14713.67 percentage points in Q4 2025, against a drop of 15789.70 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -1857.33% (Q3 2025), -3132.79% (Q2 2025) and -394.05% (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,133.92 Bn | 1,102.51 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 634.72 Bn | 554.59 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 506.31 Bn | 479.42 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 357.83 Bn | 312.21 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 291.64 Bn | 255.63 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.27 Bn | 238.96 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 238.30 Bn | 193.70 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 195.34 Bn | 169.53 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.28 Bn | 117.93 Bn | 10.94 Bn | 28.37% |
| 10 | Provectus Biopharmaceuticals | 21.01 Mn | 19.10 Mn | - | -71,714.87% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -71,714.87% |
| Dec 31, 2025 | -1,575.32% |
| Sep 30, 2025 | -1,857.33% |
| Jun 30, 2025 | -3,132.79% |
| Mar 31, 2025 | -394.05% |
| Dec 31, 2024 | -16,288.98% |
| Sep 30, 2024 | -870.86% |
| Jun 30, 2024 | -311.72% |
| Mar 31, 2024 | -187.87% |
| Dec 31, 2023 | -499.29% |
| Sep 30, 2023 | -1,024.12% |
| Jun 30, 2023 | -494.43% |
| Mar 31, 2023 | -381.52% |
| Dec 31, 2022 | -414.78% |
| Sep 30, 2022 | -211.56% |
| Jun 30, 2022 | -335.08% |
| Mar 31, 2022 | -533.07% |
Provectus Biopharmaceuticals 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=PVCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PVCT", "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=PVCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();