Bioharvest Sciences (BHST) Return on Sales [ROS] (2023 - 2026)
Bioharvest Sciences' Return on Sales [ROS] was -28.37% in the quarter ended Jun 30, 2026, down 7.05 percentage points from -21.32% a year earlier and down 6.81 percentage points from the prior quarter.
Bioharvest Sciences (BHST) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bioharvest Sciences' Return on Sales [ROS] was -17.99% through Jun 30, 2026, up 6.27 percentage points year-over-year; for the year ended Dec 31, 2025, it came in at -16.16%, up 11.59 percentage points from the prior year.
- In earlier years, Return on Sales [ROS] was -27.75% in the year ended Dec 31, 2024 (+50.90 pp) and -78.65% in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Return on Sales [ROS] since the quarter ended Sep 30, 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in six of the last eight quarters, with an average year-over-year change of +38.29 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was the quarter ended Dec 31, 2024 (a gain of 361.40 percentage points); the worst was the quarter ended Jun 30, 2024 (a drop of 134.01 percentage points).
- Per Business Quant data, BHST's Return on Sales [ROS] in the three quarters before the quarter ended Jun 30, 2026 was -21.56% (quarter ended Mar 31, 2026), -12.36% (quarter ended Dec 31, 2025) and -10.15% (quarter ended Sep 30, 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 | Bioharvest Sciences | 27.06 Mn | -43.32 Mn | 5.08 Mn | -28.37% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -28.37% |
| Mar 31, 2026 | -21.56% |
| Dec 31, 2025 | -12.36% |
| Sep 30, 2025 | -10.15% |
| Jun 30, 2025 | -21.32% |
| Mar 31, 2025 | -21.87% |
| Dec 31, 2024 | -23.18% |
| Sep 30, 2024 | -32.15% |
| Jun 30, 2024 | -29.47% |
| Mar 31, 2024 | -26.65% |
| Dec 31, 2023 | -384.58% |
| Sep 30, 2023 | 61.96% |
| Jun 30, 2023 | 104.55% |
Bioharvest Sciences 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=BHST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BHST", "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=BHST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();