SmartKem (SMTK) Return on Sales [ROS] (2020 - 2026)
SmartKem (SMTK) reported Return on Sales [ROS] of -1404.38% for Q2 2026, up 12258.12 percentage points from -13662.50% a year earlier and up 11460.62 percentage points from the prior quarter.
SmartKem (SMTK) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For FY2025, SmartKem posted Return on Sales [ROS] of -1841.46%, up 10919.51 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +2998.96 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -12760.98% in FY2024 (+24242.73 pp), -37003.70% in FY2023 (-12768.70 pp), -24235.00% in FY2022 (+66331.67 pp) and -90566.67% in FY2021 (-85726.24 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -89833.33% in Q3 2023 and a high of -380.75% in Q4 2025.
- Year over year, Return on Sales [ROS] has now increased in each of the last four quarters, with an average year-over-year change of +19501.13 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2024 (a gain of 67139.86 percentage points); the low point was Q3 2023 (a drop of 80367.95 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -12865.00% (Q1 2026), -380.75% (Q4 2025) and -3937.04% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 16.44% |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 14.73% |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 8.09% |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 7.62% |
| 10 | SmartKem | 231,143.84 | -12.34 Mn | - | -1,404.38% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,404.38% |
| Mar 31, 2026 | -12,865.00% |
| Dec 31, 2025 | -380.75% |
| Sep 30, 2025 | -3,937.04% |
| Jun 30, 2025 | -13,662.50% |
| Mar 31, 2025 | -13,643.48% |
| Dec 31, 2024 | -5,714.29% |
| Sep 30, 2024 | -22,693.48% |
| Jun 30, 2024 | -6,942.50% |
| Mar 31, 2024 | -40,816.67% |
| Dec 31, 2023 | -37,003.70% |
| Sep 30, 2023 | -89,833.33% |
| Jun 30, 2023 | -29,587.50% |
| Mar 31, 2023 | -15,962.50% |
| Dec 31, 2022 | -24,235.00% |
| Sep 30, 2022 | -9,465.38% |
| Jun 30, 2022 | -60,450.00% |
| Mar 31, 2022 | -8,026.67% |
| Dec 31, 2020 | -6,234.78% |
| Sep 30, 2020 | -1,246.00% |
SmartKem 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=SMTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SMTK", "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=SMTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();