Sunshine Biopharma (SBFM) Return on Sales [ROS] (2015 - 2026)
Sunshine Biopharma's Return on Sales [ROS] came in at -17.41% for Q2 2026, up 4.42 percentage points from -21.83% a year earlier but down 0.16 percentage points from the prior quarter.
Sunshine Biopharma (SBFM) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sunshine Biopharma reported Return on Sales [ROS] of -16.65%, up 1.22 percentage points year-over-year; for FY2025, it came in at -17.15%, down 0.49 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +790.68 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -16.67% in FY2024 (+3.20 pp), -19.86% in FY2023 (+601.47 pp), -621.33% in FY2022 (+446.90 pp) and -1068.24% in FY2021 (-260.40 pp).
- The five-year range for quarterly Return on Sales [ROS] is -1293.58% (Q3 2022) to -11.54% (Q3 2025).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -0.87 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2022 (a gain of 2187.01 percentage points), and the weakest in Q3 2021 (a drop of 592.76 percentage points).
- Business Quant data shows SBFM's Return on Sales [ROS] at -17.25% (Q1 2026), -20.87% (Q4 2025) and -11.54% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 28.37% |
| 10 | Sunshine Biopharma | 942,073.56 | -38.15 Mn | 2.43 Mn | -17.41% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -17.41% |
| Mar 31, 2026 | -17.25% |
| Dec 31, 2025 | -20.87% |
| Sep 30, 2025 | -11.54% |
| Jun 30, 2025 | -21.83% |
| Mar 31, 2025 | -14.56% |
| Dec 31, 2024 | -21.24% |
| Sep 30, 2024 | -13.12% |
| Jun 30, 2024 | -13.63% |
| Mar 31, 2024 | -17.91% |
| Dec 31, 2023 | -15.46% |
| Sep 30, 2023 | -13.08% |
| Jun 30, 2023 | -18.23% |
| Mar 31, 2023 | -37.37% |
| Dec 31, 2022 | -593.01% |
| Sep 30, 2022 | -1,293.58% |
| Jun 30, 2022 | -462.92% |
| Mar 31, 2022 | -997.48% |
| Dec 31, 2021 | -328.52% |
| Sep 30, 2021 | -985.11% |
Sunshine Biopharma 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=SBFM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SBFM", "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=SBFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();